CN103999501A - System structure of self-organizing network and optimizing method - Google Patents
System structure of self-organizing network and optimizing method Download PDFInfo
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Abstract
The invention discloses a system structure of a self-organizing network and an optimizing method, and relates to the technical field of communication. The problem that it is difficult for an SON system to accurately obtain antenna parameter information is solved. The system structure of the self-organizing network comprises at least an informatization antenna, an external measurement and control device corresponding to any informatization antenna, a base station and a self-organizing network SON function entity, wherein the external measurement and control device is used for measuring and controlling first engineering parameters of the informatization antenna corresponding to the external measurement and control device and sending the first engineering parameters to the informatization antenna corresponding to the external measurement and control device, the informatization antenna is used for measuring and controlling second engineering parameters of the informatization antenna and storing the second engineering parameters and the first engineering parameters, the base station is used for storing system parameters of a community which any informatization antenna belongs to, and the SON function entity is used for obtaining parameters of the informatization antenna and the base station.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a system architecture and an optimization method for an ad hoc network.
Background
With the rapid development of wireless communication technology, people continuously raise higher requirements for the capacity, transmission rate and the like of a communication system, a series of network capacity raising technologies and architectures are proposed, and most of the technologies utilize a multi-port antenna with strong spatial processing capability to realize higher capacity, such as an intelligent antenna, a large-scale array MIMO technology and the like. For a multi-port antenna to achieve high network capacity, matched antenna weights need to be configured for different network scenes, but when the number of antenna ports is too large, the weight configuration is very complex, and cannot be achieved at all based on a traditional manual weight configuration mode.
The rapid development of Self-Organized Network (SON for short) technology provides an effective method for solving the above problems, and the core idea is to reduce the traditional manual operation and reduce the operation and maintenance cost of Network operators through the automatic process at the stages of Network planning, deployment, optimization, maintenance and the like.
The prior related technologies are as follows: and storing the unit directional diagram data of the antenna as a static file in the base station, wherein the stored information comprises the name of an antenna manufacturer, the model of the antenna, the sub-frequency band of the antenna, the half-power angle of the antenna and weight information. And when the broadcast weight value needs to be configured, the controller sends the antenna information and the beam index. The base station side can read the corresponding weight information from the static file according to the received antenna index and the antenna information. However, the difference of the unit pattern data of the antennas of different antenna manufacturers is large, so that the parameter information of the antennas of different antenna manufacturers needs to be manually collected and matched, a large amount of management and maintenance work needs to be performed, and the parameter information of the antennas is difficult to accurately obtain.
Disclosure of Invention
The embodiment of the invention provides a system architecture and an optimization method of a self-organizing network, which aim to solve the problem that antenna parameter information is difficult to accurately obtain.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, an embodiment of the present invention provides a system architecture of an ad hoc network, including: the system comprises at least one information antenna, external measurement and control equipment corresponding to any one information antenna, a base station and a self-organizing network (SON) functional entity; wherein,
the external measurement and control equipment is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment;
the information antenna is used for measuring and controlling a second engineering parameter of the information antenna and storing a performance parameter of the information antenna;
the base station is used for storing system parameters of a cell where any one of the information antennas is located;
the SON function entity is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information-based antenna, and obtain the system parameter in the base station.
In a first possible implementation manner of the first aspect, the SON function entity is further configured to optimize the second engineering parameter and the system parameter according to the acquired first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna, the system parameter in the base station, and a parameter pre-stored by the SON function entity, configure the optimized second engineering parameter to the information antenna, and configure the optimized system parameter to the base station.
In the first aspect or the first possible implementation manner of the first aspect, a second possible implementation manner of the first aspect is further provided, where sending, by the external measurement and control device, the first engineering parameter to the information antenna corresponding to the external measurement and control device includes:
and the external measurement and control equipment sends the first engineering parameter to the information antenna corresponding to the external measurement and control equipment through a wireless link.
In the first aspect or any one of the first two possible implementation manners of the first aspect, a third possible implementation manner of the first aspect is further provided, where the external measurement and control device corresponding to any one of the information antennas includes: a first sensor, a first controller and a first transceiver; wherein,
the first sensor is used for measuring a first engineering parameter of the information antenna;
the first controller is used for adjusting the state of the first sensor;
the first transceiver is used for receiving a command sent by the information antenna and sending a first engineering parameter obtained by measurement of the first sensor to the information antenna corresponding to the external measurement and control equipment.
In the first aspect or any one of the first three possible implementation manners of the first aspect, a fourth possible implementation manner of the first aspect is further provided, where the information antenna includes: the device comprises a processing module and a storage module; wherein,
the processing module is used for measuring and controlling a second engineering parameter of the information antenna and controlling the working state of the external measuring and controlling equipment corresponding to the information antenna;
the storage module is used for storing second engineering parameters of the information antenna and first engineering parameters obtained by measurement of the external measurement and control equipment corresponding to the information antenna.
According to a fourth possible implementation manner of the first aspect, a fifth possible implementation manner of the first aspect is further provided, where the processing module includes: a first processing unit and a second processing unit; wherein,
the first processing unit is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna;
and the second processing unit is used for measuring and controlling a second engineering parameter of the information antenna.
In a fifth possible implementation manner of the first aspect, a sixth possible implementation manner of the first aspect is further provided, where the first processing unit includes: a second transceiver and a second controller;
the second transceiver is used for receiving a first engineering parameter measured by the external measurement and control equipment corresponding to the information antenna;
the second controller is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna.
In a fifth possible implementation manner of the first aspect, a seventh possible implementation manner of the first aspect is further provided, where the second processing unit includes: a second sensor and a third controller; wherein,
the second sensor is used for measuring a second engineering parameter of the information antenna;
the third controller is configured to adjust the informational antenna.
In an eighth possible implementation manner of the first aspect, the base station includes: a signal processing module;
and the signal processing module is used for storing the system parameters of the cell where any one of the information antennas is located.
In a ninth possible implementation manner of the first aspect, the SON function entity includes: a management module and an SON optimization module; wherein,
the management module is used for controlling and managing the information antenna and the base station;
the SON optimization module is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the management module, and obtain the system parameter in the base station through the management module.
In a ninth possible implementation manner of the first aspect, a tenth possible implementation manner of the first aspect is further provided, where the management module includes: a first management module and a second management module; wherein,
the first management module is used for controlling and managing the information antenna;
the second management module is used for controlling and managing the base station.
In a tenth possible implementation manner of the first aspect, an eleventh possible implementation manner of the first aspect is further provided, where the first management module includes: a first management unit and a second management unit; wherein,
the first management unit is used for controlling and managing a processing module of each information antenna;
the second management unit is used for controlling and managing a storage module of each information antenna.
In a tenth possible implementation manner of the first aspect, a twelfth possible implementation manner of the first aspect is further provided, where the SON optimization module is configured to obtain, by the management module, the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna, and obtaining, by the management module, the system parameter in the base station includes:
the SON optimization module obtains the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the first management module, and obtains the system parameter in the base station through the second management module.
In a second aspect, an embodiment of the present invention provides an optimization method for a self-organizing network, which is applied to the SON function entity in the self-organizing network of the first aspect or any possible implementation manner of the first aspect, where the optimization method includes:
acquiring engineering parameters and performance parameters of an information antenna in the self-organizing network and system parameters of a cell where the information antenna is located;
optimizing the engineering parameters and the system parameters according to the engineering parameters, the performance parameters, the system parameters and parameter information prestored in the SON functional entity;
and configuring the optimized engineering parameters to the information antenna, and configuring the optimized system parameters to a base station.
In a first possible implementation manner of the second aspect, before the obtaining the engineering parameters and the performance parameters of the information antennas in the ad hoc network and the system parameters of the cell in which the information antennas are located, the method further includes:
sending a measurement and control command to the information antenna so that the information antenna measures the engineering parameters of the information antenna according to the measurement and control command;
and sending an acquisition command to a base station where the information antenna is located, so that the base station sends the system parameters to the SON functional entity according to the acquisition command.
In a third aspect, an embodiment of the present invention provides an optimization method for a self-organizing network, which is applied to an information antenna in the self-organizing network in the first aspect or any possible implementation manner of the first aspect, where the optimization method includes:
receiving a measurement and control command sent by an SON functional entity;
measuring a second engineering parameter of the information antenna according to the measurement and control command;
and sending the second engineering parameter to the SON functional entity so that the SON functional entity optimizes the second engineering parameter.
In a first possible implementation manner of the third aspect, the optimization method further includes:
sending a measurement command to external measurement and control equipment corresponding to the information antenna according to the received measurement and control command, so that the external measurement and control equipment measures a first engineering parameter of the information antenna;
and receiving the first engineering parameters sent by the external measuring equipment.
In the third aspect or the first possible implementation manner of the third aspect, a second possible implementation manner of the third aspect is further provided, and the optimization method further includes:
receiving an acquisition command sent by the SON functional entity;
and sending the stored performance parameters of the information antenna to the SON functional entity according to the received acquisition command.
In a second possible implementation manner of the third aspect, a third possible implementation manner of the third aspect is further provided, and the optimization method further includes:
and receiving the optimized second engineering parameter sent by the SON functional entity.
In a fourth aspect, an embodiment of the present invention provides an optimization method for an ad hoc network, where the optimization method is applied to a base station in the ad hoc network in the first aspect or any possible implementation manner of the first aspect, and the optimization method includes:
receiving an acquisition command sent by an SON functional entity;
and sending the stored system parameters of the cell where the information antenna is located to the SON functional entity according to the received acquisition command so that the SON functional entity optimizes the system parameters.
In a first possible implementation manner of the fourth aspect, the optimization method further includes:
and receiving the optimized system parameters sent by the SON functional entity.
In a fifth aspect, an embodiment of the present invention provides an optimization method for a self-organizing network, which is applied to an external measurement and control device in the self-organizing network in the first aspect or any possible implementation manner of the first aspect, where the optimization method includes:
receiving a measurement command sent by an information antenna corresponding to the external measurement and control equipment;
measuring engineering parameters of the information antenna according to the measurement command;
and sending the measured engineering parameters to the information antenna so that the information antenna sends the engineering parameters to an SON functional entity, and the SON functional entity optimizes the engineering parameters.
The embodiment of the invention provides a system architecture and an optimization method of a self-organizing network, wherein external measurement and control equipment in the system architecture of the self-organizing network is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment; the information antenna is used for measuring and controlling a second engineering parameter of the information antenna, and storing the second engineering parameter of the information antenna and a first engineering parameter measured by the external measuring and controlling equipment corresponding to the information antenna; the base station is used for storing system parameters of a cell where any one of the information antennas is located; the SON functional entity is used for acquiring parameters in the information antenna and the base station so as to solve the problem that the antenna parameter information is difficult to acquire accurately.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic system architecture diagram of an ad hoc network according to an embodiment of the present invention;
fig. 2 is a system architecture diagram of another ad hoc network according to an embodiment of the present invention;
fig. 3 is a system architecture diagram of another ad hoc network according to an embodiment of the present invention;
fig. 4 is a schematic diagram illustrating an optimization method of an ad hoc network according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example one
An embodiment of the present invention provides a system architecture of a self-organizing network, as shown in fig. 1, the system architecture of the self-organizing network includes: the system comprises at least one information antenna, external measurement and control equipment corresponding to any one information antenna, a base station and a self-organizing network (SON) functional entity; wherein,
the external measurement and control equipment is used for measuring and controlling a first engineering parameter of the information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter obtained by measurement and control to the information antenna corresponding to the external measurement and control equipment;
the information antenna is used for measuring and controlling a second engineering parameter of the information antenna and storing a performance parameter of the information antenna;
the base station is used for storing system parameters of a cell where any one of the information antennas is located;
the SON function entity is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information-based antenna, and obtain the system parameter in the base station.
The first engineering parameters comprise parameters of the ambient environment of an information antenna corresponding to the external measurement and control equipment, which are measured by the external measurement and control equipment, and parameters of a mechanical azimuth angle and the like of the measured information antenna; the second engineering parameters comprise parameters such as azimuth angle, downward inclination angle, height, longitude and latitude of the information antenna; the SON function entity may be an operation, operation and maintenance system, such as a server of M2000.
Specifically, the sending, by the external measurement and control device, the parameter obtained by measurement and control to the information antenna corresponding to the external measurement and control device includes: and the external measurement and control equipment sends parameters obtained by measurement and control to the information antenna corresponding to the external measurement and control equipment through a wireless link.
Specifically, the SON function entity is configured to obtain parameters in the information antenna and the base station, including: the SON functional entity obtains a first engineering parameter and a second engineering parameter of the information antenna stored in the information antenna, obtains a performance parameter of the information antenna stored in the information antenna, and obtains a system parameter of a cell where the information antenna is located in the base station. The performance parameter of the information antenna may be a feature weight library of the information antenna, a port unit directional diagram, and the like, but is not limited thereto.
Further, the SON function entity is further configured to optimize the first engineering parameter, the second engineering parameter, and the system parameter according to the acquired first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna, the system parameter in the base station, and a parameter pre-stored by the SON function entity, configure the optimized first engineering parameter and the optimized second engineering parameter to the information antenna, and configure the optimized system parameter to the base station.
Wherein, the parameters pre-stored by the SON function entity include: and key import information such as an electronic map, a propagation model based on drive test correction, a corrected service model, test data and the like.
Specifically, the SON optimization module optimizes the first engineering parameter, the second engineering parameter, and the system parameter according to a first engineering parameter and a second engineering parameter of the information antenna, a performance parameter of the information antenna, a system parameter of a cell where the information antenna is located, which is obtained from the base station, and a pre-stored parameter, configures the optimized first engineering parameter and the optimized second engineering parameter to the corresponding information antenna, and configures the optimized system parameter to the base station.
Optionally, as shown in fig. 2, the external measurement and control device corresponding to any one of the information antennas includes: a first sensor, a first controller and a first transceiver; wherein,
the first sensor is used for measuring a first engineering parameter of the information antenna;
the first controller is used for adjusting the state of the first sensor;
the first transceiver is used for receiving a command sent by the information antenna and sending a first engineering parameter obtained by measurement of the first sensor to the information antenna corresponding to the external measurement and control equipment.
The adjusting the state of the first sensor may be adjusting on/off of the first sensor, or adjusting an operating time of the first sensor, but is not limited thereto.
Optionally, as shown in fig. 2, the information antenna includes: the device comprises a processing module and a storage module; wherein,
the processing module is used for measuring and controlling a second engineering parameter of the information antenna and controlling the working state of the external measuring and controlling equipment corresponding to the information antenna;
the storage module is used for storing second engineering parameters of the information antenna and first engineering parameters obtained by measurement of the external measurement and control equipment corresponding to the information antenna.
Optionally, as shown in fig. 2, the processing module includes: a first processing unit and a second processing unit; the first processing unit is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna; and the second processing unit is used for measuring and controlling a second engineering parameter of the information antenna.
Optionally, as shown in fig. 2, the first processing unit includes: a second transceiver and a second controller; the second transceiver is used for receiving a first engineering parameter measured by the external measurement and control equipment corresponding to the information antenna; the second controller is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna.
Optionally, as shown in fig. 2, the second processing unit includes: a second sensor and a third controller; wherein the second sensor is configured to measure a second engineering parameter of the informational antenna; the third controller is configured to adjust the informational antenna.
The adjustment of the information antenna by the third controller may be adjusting a downward inclination angle, an azimuth angle, and the like of the information antenna.
It should be noted that the second controller and the third controller may be two different controllers, or may be the same controller, and are determined according to actual use conditions.
Optionally, as shown in fig. 2, the base station includes: a signal processing module; the signal processing module is used for storing the system parameters of the cell where any one of the information antennas is located.
By way of example, the system parameters may include: power, Physical-layer Cell Identity (PCI), Pa (the ratio of the power of a data subcarrier to the power of a pilot subcarrier representing a symbol without a pilot in the LTE protocol), Pb (the ratio of the power of a data subcarrier to the power of a pilot subcarrier representing a symbol with a pilot in the LTE protocol (a symbol in class B)), a Radio Resource Management (RRM) parameter, a handover parameter, and the like, but are not limited thereto.
Optionally, as shown in fig. 2, the SON function entity includes: a management module and an SON optimization module; the management module is used for controlling and managing the information antenna and the base station; the SON optimization module is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the management module, and obtain the system parameter in the base station through the management module.
Illustratively, the management module manages and controls the information antenna, including: controlling the information antenna to measure the first engineering parameter and the second engineering parameter of the information antenna, and the like; the management control of the base station by the management module comprises the following steps: and acquiring or configuring system parameters of any one informationized antenna stored in the base station.
Optionally, as shown in fig. 2, the management module includes: a first management module and a second management module; the first management module is used for controlling and managing the information antenna; the second management module is used for controlling and managing the base station.
Optionally, as shown in fig. 2, the first management module includes: a first management unit and a second management unit; the first management unit is used for controlling and managing a processing module of each information antenna; the second management unit is used for controlling and managing a storage module of each information antenna.
Specifically, the processing module, which the first management unit controls and manages each of the information antennas, includes: the processing module for controlling the information antenna is used for measuring the azimuth angle, the downward inclination angle, the height, the longitude and latitude and the like of the information antenna, and can also be used for controlling the processing module for controlling the information antenna to be used for adjusting the downward inclination angle and the azimuth angle of the information antenna; the second management unit controls and manages a storage module of each of the information antennas, and includes: downloading and uploading the information stored in the storage module, and modifying the information stored in the storage module.
Optionally, the SON optimization module is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the management module, and obtaining the system parameter in the base station through the management module includes:
the SON optimization module obtains the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the first management module, and obtains the system parameter in the base station through the second management module.
Further, the SON optimization module optimizes the first engineering parameter, the second engineering parameter, and the system parameter according to the first engineering parameter and the second engineering parameter of the information antenna acquired from the first management module, the system parameter of the cell in the base station where the information antenna is located acquired from the second management module, and a pre-stored parameter, configures the optimized first engineering parameter and the optimized second engineering parameter to the corresponding information antenna through the first management module, and configures the optimized system parameter to the base station through the second management module.
The embodiment of the invention provides a system architecture of a self-organizing network, wherein external measurement and control equipment in the system architecture of the self-organizing network is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment; the information antenna is used for measuring and controlling a second engineering parameter of the information antenna, and storing the second engineering parameter of the information antenna and a first engineering parameter measured by the external measuring and controlling equipment corresponding to the information antenna; the base station is used for storing system parameters of a cell where any one of the information antennas is located; the SON function entity is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information-based antenna, and obtain the system parameter in the base station, so as to solve a problem that it is difficult to accurately obtain antenna parameter information.
Example two
According to the system architecture of the self-organizing network described in the first embodiment, the embodiment of the present invention provides a specific information-based SON system, which includes K information-based antennas, K external measurement and control devices corresponding to the K information-based antennas, a base station storing system parameters of cells in which the K information-based antennas are located, and an SON functional entity.
As shown in fig. 3, each of the information antennas includes: the system comprises an external measurement processing module, an internal measurement and control module and a storage module; the base station includes: a signal processing module; the SON functional entity comprises: the system comprises a measurement and control information management module, a system information management module, a storage information management module and an SON (self-organizing network) optimization center. The specific functions of each module are described as follows:
(1) each external instrumentation device includes a sensor, a controller, and a wireless transceiver. The sensor is responsible for measuring the characteristics of the environment around the corresponding information antenna, the mechanical azimuth angle and the like; the controller is responsible for adjusting the state of the sensor; the wireless transceiver is responsible for receiving commands sent by an external measurement processing module of the information antenna corresponding to the external measurement and control equipment and transmitting information measured by the sensor to the corresponding information antenna.
(2) The external measurement processing module in each informational antenna includes a wireless transceiver and a controller. The wireless transceiver is responsible for receiving the measurement information of the external measurement and control equipment corresponding to the wireless transceiver; the controller controls the working state of the external measurement and control equipment.
(3) The internal measurement and control module in each information antenna comprises a sensor and a controller. The sensor is responsible for measuring the downward inclination angle, the azimuth angle, the height, the longitude and latitude and the like of the information antenna; the controller is responsible for adjusting the downtilt angle, azimuth angle, etc. of the antenna.
(4) And the storage module in each information antenna stores the characteristic weight library and the port unit directional diagram of the information antenna and stores parameter information measured by the external measurement processing module and the internal measurement and control module in the information antenna.
(5) The measurement and control information management module controls the internal measurement and control module of each information antenna in the whole SON network, and can control the internal measurement and control module to complete the following functions: the measurement of the azimuth angle, the downward inclination angle, the height, the longitude and latitude and the like of the antenna, and the adjustment of the downward inclination angle and the azimuth angle of the antenna.
(6) And the storage information management module controls the storage module of each information antenna in the whole SON network. The method can download and upload the stored information, modify the stored information, and configure the weight for the signal processing module in the base station (or system device).
(7) The system information management module controls system parameters of each cell signal processing module in the whole SON network, and the system parameters comprise: the system information management module may query the system parameter configuration information of each signal processing module, and may also configure the system parameters of each signal processing module, which is not limited to this.
(8) The SON optimization center stores key import information such as an electronic map, a corrected propagation module, a corrected service model, test data and the like; acquiring parameter information in a storage module, carrying out vector weighting on a unit directional diagram to form a characteristic beam library corresponding to the characteristic weight, and carrying out optimization simulation on an azimuth angle, a downtilt angle, system parameters and the characteristic beam library through genetic algorithms such as a particle swarm algorithm, a search and separation evolutionary algorithm and the like.
For the SON system, the SON system can be used to solve the local network problem without affecting other areas, as shown in fig. 4, the specific working steps include:
201. and the SON optimization center finds out the problem cell by using the electronic map and the test data.
202. And the SON optimization center issues a first command to the measurement and control information management module and feeds back the state (or engineering parameters) of the problem cell to the SON optimization center.
Specifically, step 202 may include:
202a, the SON optimization center issues a first command to the measurement and control information management module.
The first command is used for acquiring engineering parameters of a problem cell.
202b, the measurement and control information management module finds out the information antenna corresponding to the problem cell according to the first command, and sends a measurement control signal to the information antenna corresponding to the problem cell.
202c, the information antenna measures and obtains the information antenna to obtain a first engineering parameter and a second engineering parameter according to the received measurement control information.
Specifically, the external measurement processing module of the information antenna controls the external measurement module to measure the characteristics of the information antenna such as the periodic environment, the mechanical azimuth angle and the like, so as to obtain a first engineering parameter of the information antenna corresponding to the problem cell; and the internal measurement and control module of the information antenna measures the downward inclination angle, the azimuth angle, the height, the longitude and latitude and the like of the information antenna to obtain a second engineering parameter of the information antenna corresponding to the problem cell.
202d, storing the measured first engineering parameter and the second engineering parameter in a storage module of the information antenna.
202e, feeding back a first engineering parameter measured by an external measurement processing module and a second engineering parameter measured by an internal measurement and control module of the information antenna to the SON optimization center through a measurement and control information management module.
203. And the SON optimization center issues a second command to the storage information management module, and feeds back the feature weight library and the unit directional diagram of the problem cell to the SON optimization center.
Specifically, step 203 may include:
203a, the SON optimization center issues a second command to the storage information management module.
And the second command is used for acquiring a feature weight library and a unit directional diagram of the problem cell.
203b, the storage information management module finds out the information antenna corresponding to the problem cell according to the second command, and sends the first acquisition signal to the information antenna corresponding to the problem cell.
203c, the information antenna feeds back the stored feature weight library and the port unit directional diagram of the information antenna to the SON optimization center through the storage information management module according to the received first acquisition signal by the storage module of the information antenna.
204. And the SON optimization center issues a third command to the system information management module and feeds back the system parameters of the problem cell to the SON optimization center.
Specifically, step 204 may include:
204a, the SON optimization center issues a third command to the system information management module.
Wherein the third command is used for acquiring the system parameters of the problem cell.
204b, the system information management module finds out the base station corresponding to the problem cell according to the third command, and sends a second acquisition signal to the base station corresponding to the problem cell.
Each problem cell corresponds to an information antenna covering the problem cell, and each base station is responsible for at least one information antenna, that is, the base station corresponding to the problem cell is found, and the base station stores system parameters and the like of the problem cell.
204c, the base station feeds back the system parameters of the problem cell stored by the signal processing module in the base station to the SON optimization center through the storage information management module according to the received second acquisition signal.
205. The SON optimization center takes the coverage area of the problem cell as a simulation observation area, and optimizes the parameter information obtained from the step 202-204 according to the owned information and the parameter information obtained from the step 202-204.
The self-contained information is key import information such as an electronic map, a corrected propagation model, a corrected service model and test data which are stored in the SON optimization center. The optimizing the parameter information obtained in step 202-204 includes: and optimizing parameters such as azimuth angles, downtilts and the like of the information antennas corresponding to the problem cells, and/or optimizing the characteristic weight parameters of the information antennas corresponding to the problem cells, and/or optimizing the system parameters of the problem cells.
206. And the SON optimization center transmits configuration parameters such as the azimuth angle, the downtilt angle and the like after the problem cell is optimized to the corresponding internal measurement and control module of the information antenna through the measurement and control information management module, so that the internal measurement and control module controls and adjusts the azimuth angle and the downtilt angle of the information antenna.
Specifically, step 206 may include:
206a, the SON optimization center sends the parameters of the optimized azimuth angle, the optimized downtilt angle and the like of the problem cell to the measurement and control information management module.
206b, the measurement and control information management module sends the received parameters of the azimuth angle, the downtilt angle and the like after the optimization of the problem cell to the internal measurement and control module of the corresponding information antenna.
206c, the internal measurement and control module of the information antenna controls and adjusts the azimuth angle, the downward inclination angle and the like of the information antenna according to the received optimized parameters of the azimuth angle, the downward inclination angle and the like.
207. And the SON optimization center configures the optimized weight parameters of the problem cell to the corresponding signal processing modules through the storage information management module, and configures the optimized system parameters of the problem cell to the corresponding signal processing modules through the system information management module.
Specifically, the SON optimization center sends the optimized weight parameter of the problem cell to the storage information management module, and the storage information management module sends the received optimized weight parameter of the problem cell to the corresponding signal processing module; and the SON optimization center sends the optimized system parameters of the problem cell to the system information management module, and the system information management module sends the received optimized system parameters of the problem cell to the corresponding signal processing module.
The embodiment of the invention provides a system architecture and an optimization method of a self-organizing network, wherein external measurement and control equipment in the system architecture of the self-organizing network is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment; the information antenna is used for measuring and controlling a second engineering parameter of the information antenna, and storing the second engineering parameter of the information antenna and a first engineering parameter measured by the external measuring and controlling equipment corresponding to the information antenna; the base station is used for storing system parameters of a cell where any one of the information antennas is located; the SON functional entity is used for acquiring parameters in the information antenna and the base station so as to solve the problem that the antenna parameter information is difficult to acquire accurately.
EXAMPLE III
The embodiment of the invention provides a specific application scene aiming at the system architecture of the self-organizing network provided by the first embodiment and the second embodiment, the network is provided with 36 base stations, each base station is divided into three sectors, the total number of the sectors is 108, each sector comprises an informationized electric tuning antenna, an external measurement module and a signal processing module, the 108 antennas are connected to a measurement and control and storage information management module of an operator machine room through a special channel, and the module is connected with an SON optimization center, so that the whole informationized SON system is formed. The specific description is as follows:
(1) external measurement module
The wireless camera: observing the surrounding environment of the cell;
pole is embraced to intelligence: and adjusting the mechanical azimuth angle of the antenna.
(2) An external measurement control module: is responsible for interacting with external measurement modules
(3) The internal measurement and control module comprises a sensor and a controller; the gravity sensor is used for measuring a downward inclination angle, the GPS sensor is used for measuring an azimuth angle, a height and a longitude and latitude, and the downward inclination angle controller is used for controlling the downward inclination angle.
(4) And the storage module consists of a memory and stores the characteristic weight library of the antenna and the port unit directional diagram.
In an example, the FA/D independent electrically tunable antenna feature weight library is taken as an example, and includes 36 complete and typical feature weight libraries: f, 90-degree beam weight of a frequency band, 65-degree wave width-20: 5:20 deflection weight, 30-degree wave width-45: 5:45 deflection weight, saddle-shaped weight, splitting weight 2 group and MIMO weight 4 group; the port cell pattern includes: 3D amplitude pattern and 3D phase pattern for the F band of 8 ports.
(5) And the measurement and control information management module controls a gravity sensor, a GPS sensor, a downward inclination angle controller, a wireless camera and an intelligent holding pole in each information antenna in the whole network.
(6) And the storage information management module controls the storage of each information antenna in the whole network, and can download, upload or modify the information stored in the storage module of each information antenna.
(7) The system information management module is used for respectively controlling system parameters of the signal processing module corresponding to each cell in the whole network, wherein the system parameters comprise power, PCI, Pa, Pb, RRM parameters, switching parameters and the like, and can be used for configuring the system parameters of the signal processing module and inquiring configuration information of the system parameters in the signal processing module.
(8) And the SON optimization center stores key import information such as an electronic map, a modified propagation model, a modified service model, test data and the like, performs vector weighting on the unit directional diagram to form a characteristic beam library corresponding to the characteristic weight library, and performs optimization simulation of azimuth angles, downtilts, power, the characteristic beam library and the like through genetic algorithms such as a particle swarm algorithm, a differential evolution algorithm and the like.
Assuming that when a network problem occurs in an area (or sector) in the SON network, the SON system provided in the embodiment of the present invention may be used to optimize the network area where the problem occurs, which specifically includes:
301. and the SON optimization center finds the neighbor list of the problem area by using the electronic map and the test data.
302. And the SON optimization center issues a first command to the measurement and control information management module.
303. And the measurement and control information management module finds the information antenna corresponding to the problem area according to the first command and sends a measurement control signal to the information antenna corresponding to the problem cell.
304. The information antenna obtains the longitude and latitude, the azimuth angle, the downward inclination angle, the height and the surrounding environment of the cell of the problem area through the internal measurement and control module and the external measurement and control module according to the received measurement control information.
305. The information antenna sends the measured parameters to the measurement and control information management module.
306. And the measurement and control information management module sends the parameters obtained by receiving the information antenna measurement corresponding to the problem area to the SON optimization center.
307. And the SON optimization center issues a second command to the storage information management module, and correspondingly, the storage information management module receives the second command issued by the SON optimization center.
308. And the storage information management module finds the information antenna corresponding to the problem area according to the second command, and sends a first acquisition signal to the information antenna corresponding to the problem cell.
309. The information antenna sends the characteristic weight library of the information antenna and the port unit directional diagram stored by the storage module of the information antenna to the storage information management module according to the received measurement control information.
310. And the storage information management module sends the received characteristic weight library of the information antenna corresponding to the problem area and the port unit directional diagram to the SON optimization center.
311. And the SON optimization center sends a third command to the system information management module.
312. And the system information management module finds the base station where the information antenna corresponding to the problem area is located according to the third command, and sends a second acquisition signal to the base station.
313. And the base station sends the system parameters of the problem area stored in the signal processing module to a system information management module according to the second acquisition signal.
314. And the system information management module sends the received system parameters of the problem area to the SON optimization center.
315. The SON optimization center takes the problem area as a simulation observation area, and carries out optimization simulation on the azimuth angle, the downtilt angle, the system parameters and the like of the problem area through a particle swarm algorithm according to parameter information provided by the information antenna corresponding to the problem area, parameter information provided by a base station where the information antenna corresponding to the problem area is located, an electronic map of the simulation observation area, a corrected propagation model, a corrected service model and the like.
316. And the SON optimization center sends parameters such as the azimuth angle, the downtilt angle and the like after the problem area is optimized to the measurement and control information management module.
317. And the measurement and control information management module sends the received parameters such as the azimuth angle, the downtilt angle and the like after the problem area optimization to the internal measurement and control module of the corresponding information antenna.
318. The internal measurement and control module of the information antenna controls and adjusts the azimuth angle, the downward inclination angle and the like of the information antenna.
319. And the SON optimization center sends the weight parameter after the problem area is optimized to the storage information management module.
320. And the storage information management module sends the received weight parameters after the problem areas are optimized to the corresponding signal processing module.
321. And the SON optimization center sends the system parameters after the problem area is optimized to the system information management module.
322. And the system information management module sends the received system parameters after the problem area optimization to the corresponding signal processing module.
323. And (6) finishing the optimization.
The embodiment of the invention provides a system architecture and an optimization method of a self-organizing network, wherein external measurement and control equipment in the system architecture of the self-organizing network is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment; the information antenna is used for measuring and controlling a second engineering parameter of the information antenna, and storing the second engineering parameter of the information antenna and a first engineering parameter measured by the external measuring and controlling equipment corresponding to the information antenna; the base station is used for storing system parameters of a cell where any one of the information antennas is located; the SON functional entity is used for acquiring parameters in the information antenna and the base station so as to solve the problem that the antenna parameter information is difficult to acquire accurately.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be physically included alone, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (22)
1. A system architecture for an ad hoc network, comprising: the system comprises at least one information antenna, external measurement and control equipment corresponding to any one information antenna, a base station and a self-organizing network (SON) functional entity; wherein,
the external measurement and control equipment is used for measuring and controlling a first engineering parameter of an information antenna corresponding to the external measurement and control equipment and sending the first engineering parameter to the information antenna corresponding to the external measurement and control equipment;
the information antenna is used for measuring and controlling a second engineering parameter of the information antenna and storing a performance parameter of the information antenna;
the base station is used for storing system parameters of a cell where any one of the information antennas is located;
the SON function entity is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information-based antenna, and obtain the system parameter in the base station.
2. The system architecture of an ad hoc network according to claim 1,
the SON function entity is further configured to optimize the second engineering parameter and the system parameter according to the acquired first engineering parameter, the second engineering parameter and the performance parameter in the information antenna, the system parameter in the base station, and a parameter pre-stored by the SON function entity, configure the optimized second engineering parameter to the information antenna, and configure the optimized system parameter to the base station.
3. The system architecture of the ad hoc network according to claim 1 or 2, wherein the sending of the first engineering parameter by the external measurement and control device to the information antenna corresponding to the external measurement and control device comprises:
and the external measurement and control equipment sends the first engineering parameter to the information antenna corresponding to the external measurement and control equipment through a wireless link.
4. The system architecture of an ad hoc network according to any one of claims 1 to 3, wherein the external measurement and control device corresponding to any one of the information antennas comprises: a first sensor, a first controller and a first transceiver; wherein,
the first sensor is used for measuring a first engineering parameter of the information antenna;
the first controller is used for adjusting the state of the first sensor;
the first transceiver is used for receiving a command sent by the information antenna and sending a first engineering parameter obtained by measurement of the first sensor to the information antenna corresponding to the external measurement and control equipment.
5. System architecture for an ad hoc network according to any of claims 1-4, characterised in that said information antenna comprises: the device comprises a processing module and a storage module; wherein,
the processing module is used for measuring and controlling a second engineering parameter of the information antenna and controlling the working state of the external measuring and controlling equipment corresponding to the information antenna;
the storage module is used for storing second engineering parameters of the information antenna and first engineering parameters obtained by measurement of the external measurement and control equipment corresponding to the information antenna.
6. The system architecture of an ad hoc network according to claim 5, wherein said processing module comprises: a first processing unit and a second processing unit; wherein,
the first processing unit is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna;
and the second processing unit is used for measuring and controlling a second engineering parameter of the information antenna.
7. The system architecture of an ad hoc network according to claim 6, wherein said first processing unit comprises: a second transceiver and a second controller;
the second transceiver is used for receiving a first engineering parameter measured by the external measurement and control equipment corresponding to the information antenna;
the second controller is used for controlling the working state of the external measurement and control equipment corresponding to the information antenna.
8. The system architecture of an ad hoc network according to claim 6, wherein said second processing unit comprises: a second sensor and a third controller; wherein,
the second sensor is used for measuring a second engineering parameter of the information antenna;
the third controller is configured to adjust the informational antenna.
9. The system architecture of an ad hoc network according to claim 1, wherein said base station comprises: a signal processing module;
and the signal processing module is used for storing the system parameters of the cell where any one of the information antennas is located.
10. The system architecture of a self-organizing network of claim 1, wherein the SON function entity comprises: a management module and an SON optimization module; wherein,
the management module is used for controlling and managing the information antenna and the base station;
the SON optimization module is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the management module, and obtain the system parameter in the base station through the management module.
11. The system architecture of an ad hoc network according to claim 10, wherein said management module comprises: a first management module and a second management module; wherein,
the first management module is used for controlling and managing the information antenna;
the second management module is used for controlling and managing the base station.
12. The system architecture of an ad hoc network according to claim 11, wherein said first management module comprises: a first management unit and a second management unit; wherein,
the first management unit is used for controlling and managing a processing module of each information antenna;
the second management unit is used for controlling and managing a storage module of each information antenna.
13. The system architecture of claim 11, wherein the SON optimization module is configured to obtain the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the management module, and wherein obtaining the system parameter in the base station through the management module comprises:
the SON optimization module obtains the first engineering parameter, the second engineering parameter, and the performance parameter in the information antenna through the first management module, and obtains the system parameter in the base station through the second management module.
14. A method for optimizing a self-organizing network, applied to the SON function entity in the self-organizing network according to any one of claims 1 to 13, the method comprising:
acquiring engineering parameters and performance parameters of an information antenna in the self-organizing network and system parameters of a cell where the information antenna is located;
optimizing the engineering parameters and the system parameters according to the engineering parameters, the performance parameters, the system parameters and parameter information prestored in the SON functional entity;
and configuring the optimized engineering parameters to the information antenna, and configuring the optimized system parameters to a base station.
15. The method for optimizing an ad hoc network according to claim 14, wherein before acquiring engineering parameters and performance parameters of an information antenna in the ad hoc network and system parameters of a cell in which the information antenna is located, the method further comprises:
sending a measurement and control command to the information antenna so that the information antenna measures the engineering parameters of the information antenna according to the measurement and control command;
and sending an acquisition command to a base station where the information antenna is located, so that the base station sends the system parameters to the SON functional entity according to the acquisition command.
16. An optimization method for an ad hoc network, applied to the information antenna in the ad hoc network according to any one of claims 1 to 13, the optimization method comprising:
receiving a measurement and control command sent by an SON functional entity;
measuring a second engineering parameter of the information antenna according to the measurement and control command;
and sending the second engineering parameter to the SON functional entity so that the SON functional entity optimizes the second engineering parameter.
17. The method of optimizing an ad hoc network according to claim 16, further comprising:
sending a measurement command to external measurement and control equipment corresponding to the information antenna according to the received measurement and control command, so that the external measurement and control equipment measures a first engineering parameter of the information antenna;
and receiving the first engineering parameters sent by the external measuring equipment.
18. The method of optimizing an ad hoc network according to claim 16 or 17, wherein the method further comprises:
receiving an acquisition command sent by the SON functional entity;
and sending the stored performance parameters of the information antenna to the SON functional entity according to the received acquisition command.
19. The method of optimizing an ad hoc network according to claim 18, wherein the method further comprises:
and receiving the optimized second engineering parameter sent by the SON functional entity.
20. An optimization method for an ad hoc network, applied to a base station in the ad hoc network according to any one of claims 1 to 13, the optimization method comprising:
receiving an acquisition command sent by an SON functional entity;
and sending the stored system parameters of the cell where the information antenna is located to the SON functional entity according to the received acquisition command so that the SON functional entity optimizes the system parameters.
21. The method of optimizing an ad hoc network according to claim 20, further comprising:
and receiving the optimized system parameters sent by the SON functional entity.
22. An optimization method for an ad hoc network, applied to the external measurement and control device in the ad hoc network according to any one of claims 1 to 13, the optimization method comprising:
receiving a measurement command sent by an information antenna corresponding to the external measurement and control equipment;
measuring engineering parameters of the information antenna according to the measurement command;
and sending the measured engineering parameters to the information antenna so that the information antenna sends the engineering parameters to an SON functional entity, and the SON functional entity optimizes the engineering parameters.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016112858A1 (en) * | 2015-01-14 | 2016-07-21 | Huawei Technologies Co., Ltd. | Analytics-assisted, multi-agents, self-learning, self-managing, flexible and adaptive framework for intelligent son |
| CN114745733A (en) * | 2022-03-30 | 2022-07-12 | 中山大学 | Wireless network optimization method based on SON and RRM combined optimization |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102238589A (en) * | 2011-07-04 | 2011-11-09 | 珠海世纪鼎利通信科技股份有限公司 | Wireless network communication base station antenna performance monitoring device |
| CN202143075U (en) * | 2011-07-20 | 2012-02-08 | 苏州工业园区七星电子有限公司 | Adjustment and monitoring system for base station feed system |
| CN102421101A (en) * | 2011-12-31 | 2012-04-18 | 北京邮电大学 | Method for self-configuring physical cell identifiers (PCI) |
| CN103402217A (en) * | 2013-07-29 | 2013-11-20 | 长沙威佳通信科技有限公司 | Base station antenna parameter processing system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8599709B2 (en) * | 2011-02-10 | 2013-12-03 | Apple Inc. | Methods and apparatus for wireless coexistence based on transceiver chain emphasis |
| EP2621210B1 (en) * | 2012-01-27 | 2014-01-22 | Alcatel Lucent | Method for determining cell configuration parameters in a wireless telecommunication network |
| US10243794B2 (en) * | 2012-08-30 | 2019-03-26 | T-Mobile Usa, Inc. | Open architecture for self-organizing networks |
-
2014
- 2014-03-10 CN CN201480000108.9A patent/CN103999501B/en active Active
- 2014-03-10 WO PCT/CN2014/073151 patent/WO2015135116A1/en active Application Filing
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102238589A (en) * | 2011-07-04 | 2011-11-09 | 珠海世纪鼎利通信科技股份有限公司 | Wireless network communication base station antenna performance monitoring device |
| CN202143075U (en) * | 2011-07-20 | 2012-02-08 | 苏州工业园区七星电子有限公司 | Adjustment and monitoring system for base station feed system |
| CN102421101A (en) * | 2011-12-31 | 2012-04-18 | 北京邮电大学 | Method for self-configuring physical cell identifiers (PCI) |
| CN103402217A (en) * | 2013-07-29 | 2013-11-20 | 长沙威佳通信科技有限公司 | Base station antenna parameter processing system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016112858A1 (en) * | 2015-01-14 | 2016-07-21 | Huawei Technologies Co., Ltd. | Analytics-assisted, multi-agents, self-learning, self-managing, flexible and adaptive framework for intelligent son |
| US10200884B2 (en) | 2015-01-14 | 2019-02-05 | Futurewei Technologies, Inc. | Analytics-assisted, multi-agents, self-learning, self-managing, flexible and adaptive framework for intelligent SON |
| CN114745733A (en) * | 2022-03-30 | 2022-07-12 | 中山大学 | Wireless network optimization method based on SON and RRM combined optimization |
| CN114745733B (en) * | 2022-03-30 | 2023-02-03 | 中山大学 | Wireless network optimization method and system based on SON and RRM combined optimization |
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| Publication number | Publication date |
|---|---|
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