CN116209033A - Cellular system power control method, device, base station and computer storage medium - Google Patents
Cellular system power control method, device, base station and computer storage medium Download PDFInfo
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- H04W52/00—Power management, e.g. TPC [Transmission Power Control], power saving or power classes
- H04W52/02—Power saving arrangements
- H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
- H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
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- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
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Abstract
The application relates to the field of wireless technology, and provides a cellular system power control method, a device, a base station and a computer storage medium, wherein the method comprises the following steps: judging application scenes according to factors such as base station types, base station spacing, isolation, the number of user terminals accessing to user terminals, wireless network performance indexes of the base stations and the like, and classifying the scenes of the areas covered by the base stations; according to different application scenes and reference signal receiving power, the accessed user terminals are segmented by combining a wireless environment propagation model, the optimal target signal-to-noise value of the user terminals in different distance intervals is dynamically set, and the relation between the transmitting power and the interference of the user terminals is weighed by combining a water injection strategy and closed loop power control, so that the interference of the user terminals at the boundary of a neighboring cell can be reduced, and the overall performance of the wireless network is improved.
Description
Technical Field
The present disclosure relates to the field of wireless technologies, and in particular, to a method and apparatus for controlling power of a cellular system, a base station, and a computer storage medium.
Background
The power control technology is a key technology of a cellular wireless communication system, and can realize the functions of path loss compensation, overcoming signal fading and the like through power control, ensure service quality, reduce energy consumption and improve coverage and capacity. Common for communication networks is a closed loop power control technique. According to 3GPP38.213, the uplink closed loop power control adjusts the transmit power of the ue according to the feedback from the ue, and the base station sends a transmit power control command to the ue by evaluating the signal-to-interference-and-noise ratio.
In the prior art, a closed loop power control technology is adopted to control the transmitting power of the user terminal, and the user terminal far away from the base station can transmit with larger power to reach the target rate because of poor channel quality, so that strong interference is caused to the neighbor cell. Although the power control technique ensures that the ue transmits at a power not very high by limiting the maximum transmit power, there are still many ues in the cellular network system that cannot achieve the channel quality required by the base station, so that the ue transmits at full power, resulting in high interference phenomenon of the system.
Disclosure of Invention
The application provides a cellular system power control method, a cellular system power control device, a cellular system base station and a computer storage medium, which are used for solving the technical defects in the prior art.
In a first aspect, the present application provides a method for controlling power of a cellular system, where the cellular system includes a base station and a user terminal accessing the base station, and the method for controlling power of the cellular system includes:
according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, classifying the scene of the area covered by the base station, and determining the application scene of the base station and the user terminals;
based on the application scene, determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal;
and carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
In one embodiment, the base station categories include indoor scenes and outdoor scenes;
the step of classifying the scene of the area covered by the base station according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, and determining the application scene of the base station and the user terminals comprises the following steps:
If the base station category is an indoor scene, determining that the isolation degree of the base station is larger than a preset isolation degree threshold value, and determining that the application scene is a first scene;
if the base station spacing is smaller than a preset station spacing threshold, the interference degree in the wireless network performance index is larger than a preset interference threshold, and the number of the user terminals is larger than a preset user terminal number threshold, determining that the application scene is a second scene;
if the distance between the base stations is larger than the preset distance threshold, and the number of the user terminals is smaller than the preset number threshold, determining that the application scene is a third scene;
determining other application scenes except the first scene, the second scene and the third scene as a fourth scene;
the first scene is an indoor scene, the second scene is a dense urban interference scene, the third scene is a suburban scene, and the fourth scene is a general scene.
The determining, based on the application scenario, an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal, includes:
configuring the optimal target signal-to-noise ratio values of the user terminal corresponding to the general scene, the indoor scene, the dense urban interference scene and the suburban scene to be a standard optimal target signal-to-noise ratio value, an indoor optimal target signal-to-noise ratio value, an interference optimal target signal-to-noise ratio value and an suburban optimal target signal-to-noise ratio value respectively;
Wherein the indoor optimal target signal-to-noise value and the suburban optimal target signal-to-noise value are both greater than the standard optimal target signal-to-noise value; the interference optimal target signal-to-noise ratio value is less than the standard optimal target signal-to-noise ratio value.
Determining a wireless environment propagation model of the base station and the user terminal, comprising:
determining the farthest distance X between the farthest user terminal and the base station in the user terminals, dividing the farthest distance X into continuous N segments according to the reference signal received power of the farthest user terminal and the base station, wherein X=X 1 +X 2 +...+X c +...+X N ；
Wherein X is 1 X is the nearest position to the base station N X is the furthest position from the base station x Is the middle section position.
Setting a first intermediate node x=p and a second intermediate node x=q;
the determining, based on the application scenario, an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal, includes:
if the application scene is a dense urban interference scene, reducing an optimal target signal-to-noise value between the first intermediate node x=p and the second intermediate node x=q;
if the application scene is an indoor scene, the optimal target signal-to-noise value between the node x=1 and the node x=p-1 before the first intermediate node is improved;
If the application scene is a suburban scene, increasing an optimal target signal-to-noise value between a node x=1 and a node x=p-1 before the first intermediate node;
the value of P, Q is adjusted based on the isolation of the base station, the number of ues accessing the base station, and the interference level, respectively.
The determining, based on the application scenario, an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal, includes:
combining a water injection strategy and reference signal receiving power, and configuring an optimal target signal-to-noise ratio value for the user terminal as follows:
the transmitting power of the user terminal satisfies the power constraint condition:
wherein K is the total number of user terminals, K is the target user terminal, and P max Power constraints for cellular systems;
for the target user terminal k at the nearest position X 1 Is the optimal target signal-to-noise value of>
At said location X for a target user terminal k x Is a target signal to noise ratio value;
For the target user terminal k at the farthest position X N Is set to the optimum target signal to noise ratio value of (c).
And performing closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise ratio value fed back by the user terminal and combining with the optimal target signal-to-noise ratio value, wherein the closed-loop control comprises the following steps:
Configuring initial transmitting power of the user terminal in the application scene, and acquiring a current signal-to-noise value of the user terminal, wherein the initial transmitting power comprises expected receiving power of a base station and a path loss compensation factor;
comparing the current signal-to-noise ratio value of the user terminal with the value of the optimal target signal-to-noise ratio value of the user terminal based on the application scene to obtain a comparison result;
based on the comparison result, the transmitting power of the user terminal in the application scene is controlled in a closed loop manner
In a second aspect, the present application further provides a cellular system power control apparatus, where the cellular system includes a base station and a user terminal accessing the base station, and the cellular system power control apparatus includes:
the scene classification module is used for classifying the scene of the area covered by the base station according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, and determining the application scene of the base station and the user terminals;
the determining module is used for determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal based on the application scene;
And the control module is used for carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
In a third aspect, the present application also provides a base station comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the cellular system power control method of the first aspect when the program is executed.
In a fourth aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the cellular system power control method of the first aspect.
In a fifth aspect, the present application also provides a computer program product comprising a computer program which, when executed by the processor, implements the steps of the cellular system power control method of the first aspect.
In the power control process of the cellular system, the application scene is judged according to factors such as the category of the base station, the distance between base stations, the isolation, the number of user terminals accessing to the user terminal, the wireless network performance index of the base station and the like, and the scene classification is carried out on the area covered by the base station; according to different application scenes and reference signal receiving power, the accessed user terminals are segmented by combining a wireless environment propagation model, the optimal target signal-to-noise value of the user terminals in different distance intervals is dynamically set, and the relation between the transmitting power and the interference of the user terminals is weighed by combining a water injection strategy and closed loop power control, so that the overall performance of the wireless network can be improved, and the interference of the user terminals at the boundary of a neighboring cell can be reduced.
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For a clearer description of the present application or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
FIG. 1 is one of the flow diagrams of the cellular system power control method provided herein;
FIG. 2 is a second flow chart of a method for controlling power of a cellular system according to the present application;
FIG. 3 is a third flow chart of the method for controlling power of the cellular system provided in the present application;
FIG. 4 is a schematic diagram of a cellular system power control device provided herein;
fig. 5 is a schematic structural diagram of a base station provided in the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the present application will be clearly and completely described below with reference to the drawings in the present application, and it is apparent that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The following describes a cellular system power control method, apparatus, base station and computer storage medium provided in the present application with reference to fig. 1 to 5.
Specifically, the present application provides a method for controlling power of a cellular system, referring to fig. 1 to 5, fig. 1 is one of flow diagrams of the method for controlling power of a cellular system provided in the present application; FIG. 2 is a second flow chart of a method for controlling power of a cellular system according to the present application; FIG. 3 is a third flow chart of the method for controlling power of the cellular system provided in the present application; FIG. 4 is a schematic diagram of a cellular system power control device provided herein; fig. 5 is a schematic structural diagram of a base station provided in the present application.
The present embodiments provide embodiments of a cellular system power control method, it being noted that although a logic sequence is shown in the flow chart, the steps shown or described may be accomplished in a different order than the sequence shown or described under certain data.
Specifically, referring to fig. 1, fig. 1 is one of the flow charts of the cellular system power control method provided in the present application.
The execution body of the cellular system power control method provided in the embodiment of the present application may be a base station, and the cellular system power control method provided in the embodiment of the present application includes:
Step S10, classifying the scene of the area covered by the base station according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, and determining the application scene of the base station and the user terminals.
Since the power control methods of the base stations in different application scenarios are different, it is necessary to classify the application scenarios of the base stations. It should be further noted that, the application fields of the cellular system power control method provided in the embodiments of the present application include, but are not limited to, the 5G (5 th Generation Mobile Communication Technology, fifth generation mobile communication technology) multi-user terminal cellular system field and the 4G multi-user terminal cellular system field. The cellular system of the multi-user terminal comprises a base station and all user terminals accessed to the base station.
Therefore, the base station needs to classify the base station category, the base station spacing between the base station and its neighboring base stations, the isolation of the base stations, the number of user terminals accessing the base station, or/and the wireless network performance index of the base station, so as to determine the application scenario of the base station and the user terminals, and further, the application scenario of the base station includes, but is not limited to, urban high-interference scenario, urban general interference scenario, suburban high-interference scenario, suburban general interference scenario, indoor scenario, and large-scale stadium scenario, which are specifically described in step S101 to step S104.
Step S20, based on the application scene, determining the optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal.
The base station determines the optimal target signal-to-noise ratio value of the user terminal according to whether the base station is a urban high-interference scene, a urban general interference scene, a suburban high-interference scene, a suburban general interference scene, an indoor scene or a large stadium scene, and a wireless environment propagation model combining the base station and the user terminal, as described in step S201 to step S203, so that the wireless environment propagation models of the base station and the user terminal need to be determined.
Further, the specific process of determining the wireless environment propagation model of the base station and the user terminal is as follows: determining the furthest distance X between the furthest user terminal and the base station in the user terminals, dividing the furthest distance X into continuous N sections according to the reference signal receiving power of the furthest user terminal and the base station, wherein the continuous N sections are X=X 1 +X 2 +...+X x +...+X N . Wherein X is 1 X is the nearest position to the base station N X is the furthest position from the base station x Is the middle section position. Thus, an embodiment of this scenario is: for user terminals in near point locations, a fixed but higher target is formulated 
For user terminals in the midpoint position, a fixed intermediate target +.>
For user terminals in the far point position, a fixed and lower target is formulated +.>
By closed loop power control, comparing the signal to noise value of the user terminal at the near point position (midpoint position, far point position) in the ith PUSCH transmission time slot with the optimal target of the user terminal at the near point position (midpoint position, far point position)The signal-to-noise ratio value is used for judging whether to adjust the transmitting power of the user terminal, and for the user terminal which does not reach the optimal target signal-to-noise ratio value, the base station transmits a TPC command of 'power-up', so that the user terminal transmits at higher power; for the user terminal exceeding the optimal target signal-to-noise ratio value, the base station will issue a TPC command of 'power down', so that the user terminal transmits at low power, and the channel quality of the user terminal at the last near point position (midpoint position, far point position) is guaranteed to reach +.>
And transmits at a constant rate within the respective range.
For the 4G/5G multi-user cellular system, in an actual network, a user terminal at a relatively far point is farther from a base station, the channel quality is inferior to that of a user terminal at a relatively near point, the user terminal at the relatively near point transmits at higher power by distinguishing the optimal target signal to noise value of N segments of user terminals, and the user terminal at the relatively far point transmits at lower power, so that the user terminal at the relatively far point can be ensured to reduce the interference to a neighboring cell.
Further, a standard optimal target signal-to-noise value is configured for the user terminal in a general scene, an indoor optimal target signal-to-noise value is configured for the user terminal in an indoor scene, an interference optimal target signal-to-noise value is configured for the user terminal in a dense urban interference scene, and a suburban optimal target signal-to-noise value is configured for the user terminal in a suburban scene. Wherein, the indoor optimal target signal-to-noise ratio value and the suburban optimal target signal-to-noise ratio value are both larger than the standard optimal target signal-to-noise ratio value; the interference optimal target signal-to-noise ratio value is smaller than the standard optimal target signal-to-noise ratio value.
Further, in the embodiment of the present application, the water injection policy and the reference signal received power between the base station and the user terminal may be combined, and an optimal target signal to noise ratio value is configured for the user terminal, where the optimal target signal to noise ratio value configured for the user terminal is:
wherein use is made ofThe transmit power of the user terminal satisfies the power constraint condition:
K is the total number of user terminals, K is the target user terminal, P max Power constraints for cellular systems;
For the target user terminal k at the nearest position X 1 Is the optimal target signal-to-noise value of>
For the target user terminal k at position X x Is a target signal to noise ratio value; / >
For the target user terminal k at the furthest position X N Is set to the optimum target signal to noise ratio value of (c).
Further, the user terminal at the position closer to the base station sets a better optimal target signal-to-noise ratio value, the user terminal at the position farther from the base station sets a medium optimal target signal-to-noise ratio value, the user terminal at the position farther from the base station sets a lower optimal target signal-to-noise ratio value, and compared with the existing user terminal at the position close to the base station, the user terminal at the position far from the base station transmits with low power, the user terminal at the position far from the base station transmits with higher power, the resource of each user terminal is balanced, the fairness of resource allocation is ensured, meanwhile, the user terminal at the position far from the middle reduces the interference to the adjacent cell, the interference among cells is effectively restrained, and the overall performance of the 4G/5G communication system is ensured to the greatest extent.
Further, the channels of the user terminals with better channel conditions are more power distributed, the channels of the user terminals with worse channel conditions are less power distributed, the channels of the user terminals with worse channel conditions are more power distributed compared with the channels of the user terminals with better channel conditions, the resources of each user terminal are balanced, the fairness of the resource distribution in the power control process is ensured, meanwhile, the user terminals at the far point position reduce the interference to the adjacent cells, the interference among cells is effectively restrained, and the overall performance of the 4G/5G communication system is ensured to the greatest extent.
And step S30, carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise ratio value fed back by the user terminal and combining the optimal target signal-to-noise ratio value.
It should be noted that, the closed-loop control of the transmitting power is controlled according to the actual signal-to-noise ratio value and the optimal target signal-to-noise ratio value of the ue, so that the base station receives the reference signal receiving power and the actual signal-to-noise ratio value fed back by the ue according to the N-segment situation before performing the closed-loop control of the transmitting power of the ue. Then, the base station performs closed-loop control on the transmit power of the ue according to the location of the ue, the actual signal-to-noise ratio value fed back, and the optimal target signal-to-noise ratio value combined with the ue, which is described in step S301 to step S303.
Step S301, configuring initial transmitting power of the user terminal in the application scene, and obtaining a current signal-to-noise value of the user terminal, wherein the initial transmitting power comprises expected receiving power of a base station and a path loss compensation factor;
step S302, comparing the current signal-to-noise ratio value of the user terminal with the value of the optimal target signal-to-noise ratio value of the user terminal based on the application scene to obtain a comparison result;
Step S303, based on the comparison result, the transmitting power of the user terminal in the application scene is controlled in a closed loop mode.
It should be noted that, for the 4G multi-user terminal cellular system, the power closed-loop control of the present embodiment is improved based on the 3GPP36.213 protocol, and since the 3GPP36.213 protocol is the prior art, the flow of how to perform the power closed-loop control in the 3GPP36.213 protocol is not described too much. Further, for the 5G multi-user terminal cellular system, the power closed-loop control of the present embodiment is improved based on the 3GPP38.213 protocol, and since the 3GPP38.213 protocol is the prior art, the flow of how to perform the power closed-loop control in the 3GPP38.213 protocol is not described too much. Regression this example: and performing power closed-loop control according to the application scene of the user terminal and the distance segment corresponding to the application scene.
Specifically, the base station configures initial transmitting power of the user terminal under a current application scene (urban high-interference scene, urban general interference scene, suburban high-interference scene, suburban general interference scene, indoor scene and large venue scene), wherein the initial transmitting power comprises expected receiving power of the base station and a path loss compensation factor, and meanwhile, the base station needs to acquire a current signal-to-noise ratio value of the user terminal under the current application scene (urban high-interference scene, urban general interference scene, suburban high-interference scene, suburban general interference scene, indoor scene and large venue scene).
It should be noted that the number of segments in different application scenarios in this process may be the same or different. In one embodiment, for urban high interference scenarios, the furthest distance X may be divided into 5 consecutive segments, with x=x 1 +X 2 +...+X x +...+X 5 The method comprises the steps of carrying out a first treatment on the surface of the For urban general interference scenes, the longest distance X can be divided into 4 continuous segments, wherein the 4 continuous segments are x=x 1 +X 2 +X 3 +X 4 The method comprises the steps of carrying out a first treatment on the surface of the For suburban high interference scenes, the farthest distance X can be divided into 3 continuous segments, wherein the 3 continuous segments are x=x 1 +X 2 +X 3 The method comprises the steps of carrying out a first treatment on the surface of the For suburban general interference scenes, the longest distance X can be divided into 5 consecutive segments, and the consecutive segments 5 are x=x 1 +X 2 +...+X 5 The method comprises the steps of carrying out a first treatment on the surface of the For suburban indoor scenes, the farthest distance X can be divided into 3 continuous segments, wherein the 3 continuous segments are x=x 1 +X 2 +X 3 The method comprises the steps of carrying out a first treatment on the surface of the For a large venue, the farthest distance X can be divided into 5 consecutive segments, and the consecutive 5 segments are x=x 1 +X 2 +...+X x +...+X 5 The method comprises the steps of carrying out a first treatment on the surface of the In summary, in the process of power closed loop control, the application scenario, and the most between the most distant user terminal and the base station among the user terminals, are requiredThe segments of the long distance X are combined, and the number of the segments is determined according to the actual situation.
Further, the base station compares the current signal-to-noise ratio value of the user terminal in the current application scene with the optimal target signal-to-noise ratio value of the user terminal in the current application scene to obtain a comparison result, wherein the comparison result can be: the current signal-to-noise ratio value in the current application scene is larger than the optimal target signal-to-noise ratio value in the current application scene, and the comparison result can be: the current signal-to-noise ratio value in the current application scene is smaller than the optimal target signal-to-noise ratio value in the current application scene.
If the comparison result is that the current signal-to-noise ratio value in the current application scene is larger than the optimal target signal-to-noise ratio value in the current application scene, the current signal-to-noise ratio value in the current application scene is too large, and the current signal-to-noise ratio value needs to be reduced, so that the base station needs to reduce the expected receiving power and the path loss compensation factor of the base station in the current application scene. If the comparison result is that the current signal-to-noise ratio value in the current application scene is smaller than the optimal target signal-to-noise ratio value in the current application scene, the current signal-to-noise ratio value in the current application scene is too small, and the current signal-to-noise ratio value needs to be adjusted upwards and increased, so that the base station needs to increase the expected receiving power and the path loss compensation factor of the base station in the current application scene.
The embodiment provides a cellular system power control method, in the process of cellular system power control, judging application scenes according to factors such as base station category, base station spacing, isolation, the number of user terminals accessing to user terminals, wireless network performance indexes of the base stations and the like, and classifying the scenes of areas covered by the base stations; according to different application scenes and reference signal receiving power, the accessed user terminals are segmented by combining a wireless environment propagation model, the optimal target signal-to-noise value of the user terminals in different distance intervals is dynamically set, and the relation between the transmitting power and the interference of the user terminals is weighed by combining a water injection strategy and closed loop power control, so that the overall performance of the wireless network can be improved, and the interference of the user terminals at the boundary of a neighboring cell can be reduced.
Further, fig. 2 is a second flowchart of a cellular system power control method provided in the present application, where the cellular system power control method provided in the embodiment of the present application includes:
step S101, if the base station type is an indoor scene, determining that the isolation of the base station is greater than a preset isolation threshold value, and determining that the application scene is a first scene;
step S102, if the base station inter-station distance is smaller than a preset inter-station distance threshold, the interference degree in the wireless network performance index is larger than a preset interference threshold, and the number of the user terminals is larger than a preset user terminal number threshold, determining that the application scene is a second scene;
step S103, if the base station inter-station distance is larger than the preset inter-station distance threshold, and the number of the user terminals is smaller than the preset user terminal number threshold, determining that the application scene is a third scene;
step S104, determining the application scenes except the first scene, the second scene and the third scene as a fourth scene.
The base station category includes both indoor distribution and outdoor distribution, i.e., it can be understood that the base station category includes indoor scenes and outdoor scenes. Therefore, it is first required to determine whether the base station class is an indoor scene, if it is determined that the base station class is an indoor scene, it is determined that the indoor coverage of the environment where the base station is currently located is good, the isolation is good, and the intra-network interference is not obvious, therefore, it is determined that the isolation of the environment where the base station is currently located is greater than a preset isolation threshold, and the application scene where the base station is currently located is determined as a first scene, where the first scene is an indoor scene, and the preset isolation threshold is set according to practical situations.
If the base station category is determined to be an outdoor scene, the current application scene of the base station needs to be determined further according to the base station spacing, the wireless network performance index or/and the number of user terminals.
Further, if the base station type is determined to be an outdoor scene, the base station spacing is smaller than a preset inter-station spacing threshold, the interference degree in the wireless network performance index is larger than a preset interference threshold, and the number of user terminals is larger than a preset user terminal number threshold, then the current environment of the base station is determined to have large traffic, the base station spacing is narrower and the intra-network interference is obvious, the current application scene of the base station is determined to be a second scene, and the second scene is a dense urban interference scene, namely an urban high interference scene, wherein the preset inter-station spacing threshold, the preset interference threshold and the preset user terminal number threshold are all set according to practical conditions, and the geographic positions of the dense urban interference scene are usually located in dense markets, dense commercial streets and dense commercial areas.
Further, if the base station category is determined to be an outdoor scene, the base station inter-station distance is greater than a preset inter-station distance threshold, and the number of user terminals is less than a preset user terminal number threshold, determining that the region of the environment in which the base station is currently located is open, the base station inter-station distance is wider, and the intra-network interference is not serious, and determining the application scene in which the base station is currently located as a third scene, wherein the third scene is a suburban scene, and the geographic position of the suburban scene is usually located in the suburban area.
Further, other application scenes except the first scene, the second scene and the third scene are determined to be a fourth scene, wherein the fourth scene is a general scene, and the general scene comprises but is not limited to urban general interference scenes and suburban general interference scenes.
In this embodiment, for example, the preset inter-station distance threshold is 200m (meters), the preset interference threshold is-110 dBm, and the preset user terminal number threshold is 150. And a certain base station is distributed outdoors, the base station spacing between the certain base station and the adjacent base station is 100m, the interference degree is-100 dBm, and the number of user terminals is always kept between 200 and 300, and then the current application scene of the certain base station is determined to be a dense urban interference scene, and further, it can be understood that the current environment of the certain base station may be located in a dense mall, a dense commercial street or a dense commercial area.
According to the embodiment of the application, the current application scene of the base station is determined according to the base station category, the base station spacing, the isolation degree, the number of user terminals or/and the wireless network performance index, and in the process of performing power closed-loop control on the user terminals, the optimal target signal-to-noise value of the user terminals can be configured according to the current application scene of the base station, so that the user terminals are accurately closed-loop controlled, the relation between the transmitting power and the interference of the user terminals is balanced, and the overall performance of the network is optimal.
Further, fig. 3 is a third flowchart of a cellular system power control method provided in the present application, where the cellular system power control method provided in the embodiment of the present application includes:
step S201, if the application scenario is a dense urban interference scenario, reducing an optimal target signal-to-noise value between the first intermediate node x=p and the second intermediate node x=q;
step S202, if the application scene is an indoor scene, increasing an optimal target signal-to-noise value between a node x=1 and a node x=p-1 preceding the first intermediate node;
in step S203, if the application scene is a suburban scene, the optimal target signal-to-noise value between the node x=1 and the node x=p-1 before the first intermediate node is increased.
It should be noted that, the application scenario of the embodiment of the present application is exemplified by a general scenario, a suburb scenario, a dense urban interference scenario, an indoor scenario, and a large stadium scenario.
For the general scene, because the base station spacing of the general scene is normal and the intra-network interference is normal, the configuration is carried out according to the water injection strategy, and the optimal target signal to noise ratio value is satisfied as follows
For suburban, dense urban interference, indoor and large stadium scenarios, a first intermediate node x=p and a second intermediate node x=q need to be set, wherein the value of P, Q is adjusted based on the isolation of the base station, the number of user terminals accessing the base station and the interference level, respectively.
Further, for the dense urban interference scenario, the dense urban interference scenario has large traffic, narrow base station spacing and obvious intra-network interference, and compared with the general scenario, the optimal target signal-to-noise ratio value of the user terminal at the midpoint position needs to be reduced, so that in order to ensure interference suppression, the optimal target signal-to-noise ratio value and the transmission power of the user terminal between the first intermediate node x=p and the second intermediate node x=q need to be reduced. The more dense the urban area, the more severe the interference, the smaller the P value.
Further, for an indoor scenario, the indoor coverage, the isolation degree and the intra-network interference of the indoor scenario are good, and compared with a general scenario, the optimal target signal to noise ratio value and the transmitting power of the user terminal need to be properly adjusted upwards, so that in order to improve the user perception, the optimal target signal to noise ratio value and the transmitting power of the user terminal between the node x=1 and the previous node x=p-1 of the first intermediate node need to be improved.
Further, for suburban situations, because the suburban situations have wide areas, wide base station spacing and less serious intra-network interference, a higher optimal target signal-to-noise ratio value and high transmission power of the user terminal need to be set compared with general situations, so that in order to ensure the overall throughput, the optimal target signal-to-noise ratio value and transmission power of the user terminal between the node x=1 and the previous node x=p-1 of the first intermediate node need to be improved.
Further, for a large venue, the traffic of the large venue is very high, the isolation is general, the intra-network interference is relatively serious and the interference is obviously affected, and compared with the general scene, the overall target signal to noise ratio value and the transmitting power of the middle point user terminal need to be reduced, and in order to ensure the basic quality of users, the optimal target signal to noise ratio value and the transmitting power of the user terminal between the first intermediate node x=p and the second intermediate node x=q need to be reduced.
According to the embodiment of the application, the optimal target signal-to-noise value and the transmitting power of the user terminal at the middle-far point position are reduced in a power control mode, and different user terminals are subjected to power control according to the distance between the base station and the base station, so that the power margin can be reduced, the energy consumption of a system can be reduced, the overall gain and interference reduction of a communication system are realized through a power control distribution strategy, and green communication is further realized.
Further, the cellular system power control device provided in the present application is described below, and the cellular system power control device described below and the cellular system power control method described above may be referred to correspondingly to each other.
As shown in fig. 4, fig. 4 is a schematic structural diagram of a cellular system power control device provided in the present application, where the cellular system power control device includes:
The scene classification module 401 is configured to classify a scene of an area covered by the base station according to a base station category of the base station, a base station spacing between the base station and an adjacent base station, an isolation degree of the base station, a number of user terminals accessing the base station or/and a wireless network performance index of the base station, and determine application scenes of the base station and the user terminals;
a determining module 402, configured to determine, based on an application scenario, an optimal target signal-to-noise value of the user terminal according to a wireless environment propagation model of the base station and the user terminal;
and the control module 403 is configured to perform closed-loop control on the transmit power of the ue according to the actual signal-to-noise ratio value fed back by the ue and in combination with the optimal target signal-to-noise ratio value.
Further, the scene classification module 401 is further configured to:
if the base station category is an indoor scene, determining that the isolation degree of the base station is larger than a preset isolation degree threshold value, and determining that the application scene is a first scene;
if the base station spacing is smaller than a preset station spacing threshold, the interference degree in the wireless network performance index is larger than a preset interference threshold, and the number of the user terminals is larger than a preset user terminal number threshold, determining that the application scene is a second scene;
If the distance between the base stations is larger than the preset distance threshold, and the number of the user terminals is smaller than the preset number threshold, determining that the application scene is a third scene;
determining other application scenes except the first scene, the second scene and the third scene as a fourth scene;
the first scene is an indoor scene, the second scene is a dense urban interference scene, the third scene is a suburban scene, and the fourth scene is a general scene.
Further, the validation module 402 is further configured to:
configuring the optimal target signal-to-noise ratio values of the user terminal corresponding to the general scene, the indoor scene, the dense urban interference scene and the suburban scene to be a standard optimal target signal-to-noise ratio value, an indoor optimal target signal-to-noise ratio value, an interference optimal target signal-to-noise ratio value and an suburban optimal target signal-to-noise ratio value respectively;
wherein the indoor optimal target signal-to-noise value and the suburban optimal target signal-to-noise value are both greater than the standard optimal target signal-to-noise value; the interference optimal target signal-to-noise ratio value is less than the standard optimal target signal-to-noise ratio value.
Further, the validation module 402 is further configured to:
determining the farthest distance X between the farthest user terminal and the base station in the user terminals, dividing the farthest distance X into continuous N segments according to the reference signal received power of the farthest user terminal and the base station, wherein X=X 1 +X 2 +...+X x +...+X N ；
Wherein X is 1 X is the nearest position to the base station N X is the furthest position from the base station x Is the middle section position.
Further, the validation module 402 is further configured to:
if the application scene is a dense urban interference scene, reducing an optimal target signal-to-noise value between the first intermediate node x=p and the second intermediate node x=q;
if the application scene is an indoor scene, the optimal target signal-to-noise value between the node x=1 and the node x=p-1 before the first intermediate node is improved;
if the application scene is a suburban scene, increasing an optimal target signal-to-noise value between a node x=1 and a node x=p-1 before the first intermediate node;
the value of P, Q is adjusted based on the isolation of the base station, the number of ues accessing the base station, and the interference level, respectively.
Further, the validation module 402 is further configured to:
Combining a water injection strategy and reference signal receiving power, and configuring an optimal target signal-to-noise ratio value for the user terminal as follows:
the transmitting power of the user terminal satisfies the power constraint condition:
wherein K is the total number of user terminals, K is the target user terminal, and P max Power constraints for cellular systems;
for the target user terminal k at the nearest position X 1 Is the optimal target signal-to-noise value of>
At said location X for a target user terminal k x Is a target signal to noise ratio value;
For the target user terminal k at the farthest position X N Is set to the optimum target signal to noise ratio value of (c). />
Further, the control module 403 is further configured to:
configuring initial transmitting power of the user terminal in the application scene, and acquiring a current signal-to-noise value of the user terminal, wherein the initial transmitting power comprises expected receiving power of a base station and a path loss compensation factor;
comparing the current signal-to-noise ratio value of the user terminal with the value of the optimal target signal-to-noise ratio value of the user terminal based on the application scene to obtain a comparison result;
and based on the comparison result, controlling the transmitting power of the user terminal in the application scene in a closed loop mode.
The specific embodiments of the power control device of the cellular system provided in the present application are substantially the same as the embodiments of the power control method of the cellular system described above, and are not described herein.
Fig. 5 illustrates a physical structure diagram of a base station, and as shown in fig. 5, the base station may include: processor (processor) 510, communication interface (Communications Interface) 520, memory (memory) 530, and communication bus 540, wherein processor 510, communication interface 520, memory 530 complete communication with each other through communication bus 540, and processor 510 may invoke logic instructions in memory 530 to perform a cellular system power control method, the method comprising:
according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, classifying the scene of the area covered by the base station, and determining the application scene of the base station and the user terminals;
based on the application scene, determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal;
and carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
Further, the logic instructions in the memory 530 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present application also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the method of controlling cellular system power provided by the methods described above, the method comprising:
According to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, classifying the scene of the area covered by the base station, and determining the application scene of the base station and the user terminals;
based on the application scene, determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal;
and carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
In yet another aspect, the present application also provides a non-transitory computer readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the cellular system power control methods provided above, the method comprising:
according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, classifying the scene of the area covered by the base station, and determining the application scene of the base station and the user terminals;
Based on the application scene, determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal;
and carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A cellular system power control method, the cellular system including a base station and a user terminal accessing the base station, the cellular system power control method comprising:
according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, classifying the scene of the area covered by the base station, and determining the application scene of the base station and the user terminals;
based on the application scene, determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal;
And carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
2. The cellular system power control method of claim 1, wherein the base station class comprises an indoor scenario and an outdoor scenario;
the step of classifying the scene of the area covered by the base station according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, and determining the application scene of the base station and the user terminals comprises the following steps:
if the base station category is an indoor scene, determining that the isolation degree of the base station is larger than a preset isolation degree threshold value, and determining that the application scene is a first scene;
if the base station spacing is smaller than a preset station spacing threshold, the interference degree in the wireless network performance index is larger than a preset interference threshold, and the number of the user terminals is larger than a preset user terminal number threshold, determining that the application scene is a second scene;
if the distance between the base stations is larger than the preset distance threshold, and the number of the user terminals is smaller than the preset number threshold, determining that the application scene is a third scene;
Determining other application scenes except the first scene, the second scene and the third scene as a fourth scene;
the first scene is an indoor scene, the second scene is a dense urban interference scene, the third scene is a suburban scene, and the fourth scene is a general scene.
3. The cellular system power control method according to claim 2, wherein said determining an optimal target signal-to-noise value for the user terminal based on the application scenario according to a wireless environment propagation model of the base station and the user terminal comprises:
configuring the optimal target signal-to-noise ratio values of the user terminal corresponding to the general scene, the indoor scene, the dense urban interference scene and the suburban scene to be a standard optimal target signal-to-noise ratio value, an indoor optimal target signal-to-noise ratio value, an interference optimal target signal-to-noise ratio value and an suburban optimal target signal-to-noise ratio value respectively;
wherein the indoor optimal target signal-to-noise value and the suburban optimal target signal-to-noise value are both greater than the standard optimal target signal-to-noise value; the interference optimal target signal-to-noise ratio value is less than the standard optimal target signal-to-noise ratio value.
4. The cellular system power control method of claim 1, wherein determining a wireless environment propagation model for the base station and the user terminal comprises:
determining the farthest distance X between the farthest user terminal and the base station in the user terminals, and according to the farthest distance XThe reference signal receiving power of the far user terminal and the base station divides the farthest distance X into continuous N segments, and X=X 1 +X 2 +...+X x +...+X N ；
Wherein X is 1 X is the nearest position to the base station N X is the furthest position from the base station x Is the middle section position.
5. The cellular system power control method according to claim 4, wherein a first intermediate node x=p and a second intermediate node x=q are set;
the determining, based on the application scenario, an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal, includes:
if the application scene is a dense urban interference scene, reducing an optimal target signal-to-noise value between the first intermediate node x=p and the second intermediate node x=q;
if the application scene is an indoor scene, the optimal target signal-to-noise value between the node x=1 and the node x=p-1 before the first intermediate node is improved;
If the application scene is a suburban scene, increasing an optimal target signal-to-noise value between a node x=1 and a node x=p-1 before the first intermediate node;
the value of P, Q is adjusted based on the isolation of the base station, the number of ues accessing the base station, and the interference level, respectively.
6. The cellular system power control method according to claim 1, wherein said determining an optimal target signal-to-noise value for the user terminal based on the application scenario according to a wireless environment propagation model of the base station and the user terminal comprises:
combining a water injection strategy and reference signal receiving power, and configuring an optimal target signal-to-noise ratio value for the user terminal as follows:
the transmitting power of the user terminal satisfies the power constraint condition:
wherein K is the total number of user terminals, K is the target user terminal, and P max Power constraints for cellular systems;
for the target user terminal k at the nearest position X 1 Is the optimal target signal-to-noise value of>
At said location X for a target user terminal k x Is a target signal to noise ratio value;
For the target user terminal k at the farthest position X N Is set to the optimum target signal to noise ratio value of (c).
7. The method for controlling power of a cellular system according to claim 1, wherein said performing closed-loop control on the transmit power of the ue according to the actual signal-to-noise value fed back by the ue in combination with the optimal target signal-to-noise value comprises:
Configuring initial transmitting power of the user terminal in the application scene, and acquiring a current signal-to-noise value of the user terminal, wherein the initial transmitting power comprises expected receiving power of a base station and a path loss compensation factor;
comparing the current signal-to-noise ratio value of the user terminal with the value of the optimal target signal-to-noise ratio value of the user terminal based on the application scene to obtain a comparison result;
and based on the comparison result, controlling the transmitting power of the user terminal in the application scene in a closed loop mode.
8. A cellular system power control apparatus, the cellular system comprising a base station and a user terminal accessing said base station, said cellular system power control apparatus comprising:
the scene classification module is used for classifying the scene of the area covered by the base station according to the base station category of the base station, the base station spacing between the base station and the adjacent base station, the isolation degree of the base station, the number of user terminals accessing the base station or/and the wireless network performance index of the base station, and determining the application scene of the base station and the user terminals;
the determining module is used for determining an optimal target signal-to-noise value of the user terminal according to the wireless environment propagation models of the base station and the user terminal based on the application scene;
And the control module is used for carrying out closed-loop control on the transmitting power of the user terminal according to the actual signal-to-noise value fed back by the user terminal and combining the optimal target signal-to-noise value.
9. A base station comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the cellular system power control method according to any of claims 1 to 7 when executing the program.
10. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the cellular system power control method according to any one of claims 1 to 7.
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