CN113811008B - Quick response radio resource management method - Google Patents
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Abstract
The invention discloses a quick response wireless resource management method, which comprises the following steps: s1, a system is initialized to obtain the number of available sub-channels; s2, after the first part of resource allocation is executed, the system evaluates whether the accumulated time reaches a set duration or not and is larger than a set value, wherein the set value is the update frequency of the second part of adjustment value; s3, if the accumulated time is greater than the set value, the system adjusts the number of sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, and if the accumulated time of the system reaches the set value again, dynamic adjustment is performed again; s4, if the accumulated time is smaller than the set value, returning to the first step to carry out resource allocation again; the method comprises the steps of distributing proper channels according to the rate performance of users, meeting the demand of different users, improving the resource allocation rate and improving the system performance; by setting the interference management module and combining deep learning, the influence of external interference is reduced, and the safety of data transmission is enhanced.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a quick-response wireless resource management method.
Background
The wireless resource management provides service quality guarantee for wireless user terminals in the network under the condition of limited bandwidth, and the basic starting point is to flexibly allocate and dynamically adjust the available resources of the wireless transmission part and the network under the conditions of uneven network traffic distribution, fluctuation and change of channel characteristics due to channel weakness and interference and the like.
Along with the development of 5G networks, wireless network devices are also being used, and the number of users and the number of devices are increased to provide higher requirements for the wireless networks, so that when the controller performs resource allocation, the controller cannot allocate according to the use requirements of clients, so that the influence of signal difference occurs due to uneven allocation, and the user experience is seriously affected, and therefore, a wireless resource management device with quick response is required to meet the requirements.
Chinese patent application number 200510037617.1 discloses a scheme for managing radio resources (frequency, time slot, code channel, antenna transmission power, etc.) in a mobile communication system and a method for implementing the same, which comprehensively uses related technologies related to radio resource management (i.e., power control, channel allocation, scheduling technology, call admission control, handover technology, adaptive link, etc.) in the mobile communication system, and allocates radio resources of the mobile communication system by a radio resource management control device periodically updating system parameters according to various service transmission requirements and results of radio channel estimation. In the prior art, it is difficult to realize data synchronization processing for channel allocation and scheduling, and deviation is easy to exist in estimation of a wireless channel, so that resource allocation difference is caused.
The China patent application number 201910433049.9 discloses a multi-domain collaborative wireless resource management system based on a 5G network, which comprises a system management host, wherein the system management host is respectively connected with a wireless resource management system, a signal processing system, a signal receiving module and a signal sending module through signals, the signal processing system can process signals received by the signal receiving module, the signals sent by the signal sending module can meet the demands of people, and the signal sending module is connected with a multi-carrier aggregation channel module through signals. The invention also provides a multi-domain collaborative wireless resource management method based on the 5G network. In the prior art, the lack of effective resistance to external interference leads to stronger interference to signals received by the signal receiving module, which affects normal communication and data security.
Disclosure of Invention
Aiming at the defects of the prior art, the invention aims to provide a quick response wireless resource management method, which allocates proper channels according to the rate expression of users, meets the requirements of different users, improves the resource allocation rate, improves the system performance and improves the network rate of the users; by setting the interference management module and combining deep learning, interference is restrained on signals, the influence of external interference is reduced, and the safety of data transmission is enhanced.
The invention provides the following technical scheme:
A fast response radio resource management method comprising the steps of: s1, a system is initialized to obtain the number of available sub-channels;
S2, after the first part of resource allocation is executed, the system evaluates whether the duration of the accumulated time reaching the set value is greater than the set value, and the set value is the update frequency of the second part of adjustment value;
S3, if the accumulated time is greater than the set value, the system adjusts the number of sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, and if the accumulated time of the system reaches the set value again, dynamic adjustment is performed again;
and S4, if the accumulated time is smaller than the set value, returning to the first step to carry out resource allocation again.
Preferably, when the resource allocation is executed, the system improves the performance of the wireless network with poor performance by reducing the number of the wireless network subchannels with good performance, and reduces the number of 1 subchannel each time the wireless network with good performance is selected, wherein the number of the subchannels with poor performance is increased by 1, and the condition between the wireless network f with poor performance and the wireless network g with good performance is satisfied, g= (N-1). F/N; in the above equation, g is the new wireless network performance after one channel is reduced.
Preferably, in the process of performing dynamic adjustment, if the performance of the wireless network in the first part is poor, more subchannels should be allocated in the dynamic adjustment process, let R a in the wireless network m be the actual user rate in each update time T, R t be the set target rate, and f be the performance of the wireless network, then f=r a/Rt; in the above formula, if f is greater than or equal to 1, it indicates that the wireless network can meet the user's use requirement, if each f is less than 1, it indicates that the wireless network cannot meet the user's use requirement, and if all f of each channel are less than 1, it indicates that each channel cannot meet the use requirement, in which case the system does not perform dynamic adjustment.
Preferably, after the resource allocation is performed, if the number of the sub-channels allocated to the network is N, the network is selected by adopting a training idea in order to allocate the resources more effectively. Setting n virtual networks in a region, allocating a sub-channel to a first network, then allocating a sub-channel to a second network until a sub-channel is allocated to a lower n networks, and after the first round is finished, the system iterates again to allocate the sub-channels to the wireless network, and the loop is repeated. When channel allocation is performed, the sub-channel with the largest priority value and the corresponding user are allocated to the wireless network.
Preferably, the method for allocating resources includes the steps of a, the regional network node obtains node information, the node information includes self parameters and node communication rate; and b, the upper computer acquires node information through the controller.
Preferably, the method for allocating resources further comprises step c of judging whether network resources are required to be allocated according to the power-saving communication rate acquired by the regional nodes, if so, continuing to execute the operation, and if not, returning to step a to acquire node information again; step d, the system adjusts the number of sub-channels of the network according to the node information to generate a resource allocation file; and e, dynamically adjusting the number of the sub-channels of the network area node according to the generated resource allocation file.
Preferably, the accumulative timing module counts time through the GPS timing module, accurately provides time information, and ensures on-time switching of system functions.
A quick response wireless resource management method adopts a quick response wireless resource management device, which comprises a wireless network controller; the wireless network controller is connected with a communication unit, the communication unit is connected with an upper computer, and the wireless network controller comprises a resource scheduling module, a resource allocation module, an interference management module and a data transmission module;
the resource scheduling module allocates a variable number of channels to each wireless network client, the number of channels depending on the user rate performance of the wireless network client;
The resource allocation module comprises a wireless resource allocation module and a dynamic adjustment module, wherein the wireless resource allocation module is used for carrying out specific user resource allocation on the premise of determining the number of the sub-channels of each virtual network, and the dynamic adjustment module is used for dynamically adjusting the number of the sub-channels allocated by each wireless network.
Preferably, the interference management module includes time domain interference suppression and frequency domain interference suppression, and selects a proper input for network training of interference management according to different characteristic performances of different interference signals in time domain and frequency domain.
Preferably, the data transmission module comprises a plurality of regional nodes and an aggregation node, and the aggregation node uniformly processes and transmits the data information collected by the regional nodes to the communication unit and the upper computer; the aggregation nodes and the regional nodes are transmitted in a wireless connection mode, and the wireless connection mode is chained connection, distributed connection or star connection.
Preferably, the communication unit comprises a controller, an area node, a configurable logic unit and a time service module; the controller is connected with the regional node, the configurable logic unit and the time service module.
Preferably, the controller acquires information of the regional node, the information of the regional node is transmitted to the upper computer, and the upper computer judges whether resource allocation is needed.
Preferably, the upper computer generates a resource allocation file according to the data uploaded by the regional node.
Preferably, the upper computer controls the radio network controller to adjust the number of sub-channels allocated to each radio network area node.
Preferably, the time service module is a GPS time service module.
In addition, interference is restrained through the interference management module in wireless signal transmission, the integrity of useful signals is improved, signal loss is reduced, and the safety of a system is enhanced; the process of suppressing interference is that an input layer of a communication unit adopts an n.2 sample format, wherein n is the number of data sequence sampling points, 2 is the number of characteristic channels, the input data is programmed to be applicable to three-dimensional size n.1.2 of grid processing, and then characteristic extraction is carried out through a four-level coding structure; the feature extraction adopts two layers of complex convolution, the convolution kernel size is 3.1, the step length is 1, and the number of channels of each volume base is 8; the method comprises the steps of obtaining corresponding coding features by adding tensors of layers with the same data dimension in a feature fusion mode through a four-layer decoding structure (feature extraction+up-sampling layer) and feature fusion, wherein the decoded features are extracted by adopting two layers of complex coil layers, convolution parameters are consistent with coding parameters; finally, three layers of complex convolutions are used for extracting features after four-level feature fusion, the parameters of the convolution layer are consistent with the feature extraction parameters in the coding structure, and the last layer of convolution is used for outputting a result. The process is suitable for processing time domain interference and frequency domain interference, extracting time domain and frequency domain characteristics according to actual network performance, and using the time domain and frequency domain characteristics as proper input data information for network training, so that the effect of interference suppression is improved, the safety of transmitted data is ensured, and the transmission performance of a system is not influenced.
In addition, the resource allocation module adopts dynamic allocation for the allocation of spectrum resources, and the specific steps are as follows: firstly, sensing wireless network information through an RMC module to obtain a service request and providing a spectrum allocation requirement; secondly, managing all spectrum demand information through a wireless network controller, and transmitting the information to an NRM module through an information interaction interface; thirdly, calculating an interference matrix of the base station by the NRM module according to the received information and spectrum requirements, dividing a spectrum resource multi-granularity channel to obtain a channel set, and calculating the interference matrix; fourth, the distribution matrix A is used for carrying out the blocking processing,And (3) reconstructing according to the spectrum allocation result, starting timing through the GPS timing module, ending one period of operation, re-entering the first step to start spectrum reallocation, and obtaining the most available allocation when the step is ended. Through the processing of the steps, the searching efficiency in the allocation process is improved, dynamic allocation is adopted when spectrum allocation is carried out, the flexibility is high, the system consumption rate is reduced, and the system performance is improved.
In the data transmission module, in the wireless communication process, a communication area node is set as q, when the node is connected with another area node, a monitoring message is sent in the T moment after meeting, the value of the area node q meets 0-T, and the distribution function of the wireless signal transmission safety node q meets: x (q < a) =a/T; in the formula, a is a constraint threshold, and the value range is 0-T; when a is less than 0, the probability that two area nodes will produce a communication is 1-x. The data probability F perceived by the communication area node satisfies: f=p (T f<t)＝(P(Ty<t)-P(Ty<0))/P(Ty < 0); in the above formula, T y is a period when the regional node y communicates, T is a communication time constraint threshold, and T f is a link data communication duration; in order to improve the security of wireless network data transmission, the regional node transmission control parameter c satisfies: c=λβ (1-P) E (T f); in the above formula, λ is the average transmission times of the wireless network area node, β is the data transmission rate of the area node, and E (T f) is the average value of the continuous transmission time of the area node; p is the probability that the area node directly generates communication data.
Compared with the prior art, the invention has the following beneficial effects:
(1) The invention relates to a quick response wireless resource management method, which allocates proper channels according to the rate expression of users, meets the requirements of different users, improves the resource allocation rate, improves the system performance and improves the network rate of the users; by setting the interference management module and combining deep learning, interference is restrained on signals, the influence of external interference is reduced, and the safety of data transmission is enhanced.
(2) The invention relates to a quick response wireless resource management method, which is characterized in that the system automatically adjusts the number of sub-channels of a network, thereby improving the transmission performance of the system, improving the network rate, and ensuring the on-time switching of the system functions by accurately providing time information when the accumulated timing module counts through a GPS timing module.
(3) The invention relates to a quick response wireless resource management method, when allocating resources, the system improves the performance of wireless network with worse performance by reducing the number of wireless network sub-channels with better performance, reduces the number of sub-1 channel when selecting wireless network with better performance each time, and adds 1 to the number of sub-channels with worse performance.
(4) The invention relates to a quick response wireless resource management method, which processes time domain interference and frequency domain interference, extracts time domain and frequency domain characteristics according to actual network performance, is used as proper input data information of network training, increases the effect of interference suppression, ensures the safety of transmitted data, and does not influence the transmission performance of a system.
(5) The quick response wireless resource management method adopts dynamic allocation for the allocation of the spectrum resources, improves the searching efficiency in the allocation process, adopts dynamic allocation when the spectrum allocation is carried out, has high flexibility, reduces the system consumption rate and improves the system performance.
(6) According to the quick response wireless resource management method, the data transmission module improves the safety of wireless network data transmission through parameter limitation of wireless transmission area nodes.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some examples of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Fig. 2 is a block diagram of a communication unit of the present invention.
Fig. 3 is a flow chart of resource scheduling of the present invention.
Fig. 4 is a flow chart of interference management of the present invention.
Fig. 5 is a dynamic adjustment flow chart of the present invention.
Fig. 6 is a flow chart of the method of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, of the embodiments of the invention. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Embodiment one;
As shown in fig. 6, a fast response radio resource management method includes the steps of: s1, a system is initialized to obtain the number of available sub-channels;
S2, after the first part of resource allocation is executed, the system evaluates whether the duration of the accumulated time reaching the set value is greater than the set value, and the set value is the update frequency of the second part of adjustment value;
S3, if the accumulated time is greater than the set value, the system adjusts the number of sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, and if the accumulated time of the system reaches the set value again, dynamic adjustment is performed again;
and S4, if the accumulated time is smaller than the set value, returning to the first step to carry out resource allocation again.
When the resource allocation is executed, the system improves the performance of the wireless network with poor performance by reducing the number of the wireless network subchannels with good performance, and reduces the number of 1 subchannel when selecting the wireless network with good performance each time, the number of the subchannels with poor performance is increased by 1, and the condition between the wireless network f with poor performance and the wireless network g with good performance is satisfied, g= (N-1) f/N; in the above equation, g is the new wireless network performance after one channel is reduced.
In the process of dynamic adjustment, if the performance of the wireless network in the first part is poor, more sub-channels should be allocated in the dynamic adjustment process, R a in the wireless network m is set to be the actual user rate in each update time T, R t is set to be the target rate, and f is the performance of the wireless network, then f=r a/Rt; in the above formula, if f is greater than or equal to 1, it indicates that the wireless network can meet the user's use requirement, if each f is less than 1, it indicates that the wireless network cannot meet the user's use requirement, and if all f of each channel are less than 1, it indicates that each channel cannot meet the use requirement, in which case the system does not perform dynamic adjustment.
After the resource allocation is completed, if the number of the sub-channels allocated to the network is N, the network is selected by adopting a training idea in order to more effectively allocate the resources. Setting n virtual networks in a region, allocating a sub-channel to a first network, then allocating a sub-channel to a second network until a sub-channel is allocated to a lower n networks, and after the first round is finished, the system iterates again to allocate the sub-channels to the wireless network, and the loop is repeated. When channel allocation is performed, the sub-channel with the largest priority value and the corresponding user are allocated to the wireless network.
Embodiment two:
as shown in fig. 1-2, a fast response radio resource management apparatus includes a radio network controller; the wireless network controller is connected with a communication unit, the communication unit is connected with an upper computer, and the wireless network controller comprises a resource scheduling module, a resource allocation module, an interference management module and a data transmission module;
the resource scheduling module allocates a variable number of channels to each wireless network client, the number of channels depending on the user rate performance of the wireless network client;
The resource allocation module comprises a wireless resource allocation module and a dynamic adjustment module, wherein the wireless resource allocation module is used for carrying out specific user resource allocation on the premise of determining the number of the sub-channels of each virtual network, and the dynamic adjustment module is used for dynamically adjusting the number of the sub-channels allocated by each wireless network.
The interference management module comprises time domain interference suppression and frequency domain interference suppression, and selects proper input for network training of interference management according to different characteristic performances of different interference signals in time domain and frequency domain.
The data transmission module comprises a plurality of regional nodes and an aggregation node, and the aggregation node uniformly processes and transmits data information collected by the regional nodes to the communication unit and the upper computer; the aggregation nodes and the regional nodes are transmitted in a wireless connection mode, and the wireless connection mode is chained connection, distributed connection or star connection.
The communication unit comprises a controller, an area node, a configurable logic unit and a time service module; the controller is connected with the regional node, the configurable logic unit and the time service module.
The controller acquires information of the regional nodes, the information of the regional nodes is transmitted to the upper computer, and the upper computer judges whether resource allocation is needed.
And the upper computer generates a resource allocation file according to the data uploaded by the regional nodes.
The upper computer controls the wireless network controller to adjust the number of sub-channels allocated to each wireless network area node.
The time service module is a GPS time service module.
Embodiment III:
As shown in fig. 3 and 5, on the basis of the first embodiment, the resource scheduling module effectively meets the rate requirements of different network users, and adopts the priority in proportional fairness to ensure the fairness of the movement degree, and in the specific allocation process, each sub-network allocates a certain number of sub-channels, and the specific number of the sub-channels is dynamically adjusted according to the average rate of the sub-networks; the distribution process is as follows: the method comprises the steps that firstly, a system is initialized to obtain the number of available sub-channels; the second step, after the first part of resource allocation is executed, the system evaluates whether the accumulated time reaches the set duration or not and is larger than the set value, and the set value is the update frequency of the second part of adjustment value; thirdly, if the accumulated time is greater than the set value, the system adjusts the number of sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, and if the accumulated time of the system reaches the set value again, dynamic adjustment is performed again; if the accumulated time is smaller than the set value, returning to the first step to carry out resource allocation again; the accumulation timing module is used for timing through the GPS timing module, accurately providing time information and ensuring on-time switching of system functions.
In the process of resource allocation, after the allocation is completed, if the number of the sub-channels allocated to the network is N, the network is selected by adopting a training idea in order to more effectively allocate the resources. Setting n virtual networks in a region, allocating a sub-channel to a first network, then allocating a sub-channel to a second network until a sub-channel is allocated to a lower n networks, and after the first round is finished, the system iterates again to allocate the sub-channels to the wireless network, and the loop is repeated. When channel allocation is carried out, sub-channels with the maximum priority value and corresponding users are allocated to the wireless network; in the process of dynamic adjustment, if the performance of the wireless network in the first part is poor, more sub-channels should be allocated in the dynamic adjustment process, R a in the wireless network m is set to be the actual user rate in each update time T, R t is set to be the target rate, and f is the performance of the wireless network, then f=r a/Rt; in the above formula, if f is greater than or equal to 1, it indicates that the wireless network can meet the use requirement of the user, if each f is less than 1, it indicates that the wireless network cannot meet the use requirement of the user, and if all f of each channel are less than 1, it indicates that each channel cannot meet the use requirement, in which case the system does not perform dynamic adjustment; in addition, when the resources are allocated, the system improves the performance of the wireless network with poor performance by reducing the number of the subchannels of the wireless network with good performance, and reduces the number of 1 subchannel when the wireless network with good performance is selected each time, the number of the subchannels with poor performance is increased by 1, and the condition between the wireless network f with poor performance and the wireless network g with good performance is satisfied, g= (N-1) f/N; in the above equation, g is the new wireless network performance after one channel is reduced. The method adjusts the number of the sub-channels of each wireless network, meets the use rate of users and improves the system performance.
Embodiment four:
On the basis of the second embodiment, the method for using the resource allocation by the resource scheduling module includes the steps that a, a regional network node obtains node information, wherein the node information includes self parameters and node communication rate; step b, the upper computer obtains node information through the controller; step c, judging whether network resource allocation is needed according to the power-saving communication rate acquired by the regional node, if so, continuing to execute operation, and if not, returning to the step a to acquire node information again; step d, the system adjusts the number of sub-channels of the network according to the node information to generate a resource allocation file; and e, dynamically adjusting the number of the sub-channels of the network area node according to the generated resource allocation file.
Example five
As shown in fig. 4, on the basis of the first embodiment, interference is suppressed by the interference management module in wireless signal transmission, so that the integrity of useful signals is improved, signal loss is reduced, and the safety of the system is enhanced; the process of suppressing interference is that an input layer of a communication unit adopts an n.2 sample format, wherein n is the number of data sequence sampling points, 2 is the number of characteristic channels, the input data is programmed to be applicable to three-dimensional size n.1.2 of grid processing, and then characteristic extraction is carried out through a four-level coding structure; the feature extraction adopts two layers of complex convolution, the convolution kernel size is 3.1, the step length is 1, and the number of channels of each volume base is 8; the method comprises the steps of obtaining corresponding coding features by adding tensors of layers with the same data dimension in a feature fusion mode through a four-layer decoding structure (feature extraction+up-sampling layer) and feature fusion, wherein the decoded features are extracted by adopting two layers of complex coil layers, convolution parameters are consistent with coding parameters; finally, three layers of complex convolutions are used for extracting features after four-level feature fusion, the parameters of the convolution layer are consistent with the feature extraction parameters in the coding structure, and the last layer of convolution is used for outputting a result. The process is suitable for processing time domain interference and frequency domain interference, extracting time domain and frequency domain characteristics according to actual network performance, and using the time domain and frequency domain characteristics as proper input data information for network training, so that the effect of interference suppression is improved, the safety of transmitted data is ensured, and the transmission performance of a system is not influenced.
The resource allocation module adopts dynamic allocation for the allocation of spectrum resources, and specifically comprises the following steps: firstly, sensing wireless network information through an RMC module to obtain a service request and providing a spectrum allocation requirement; secondly, managing all spectrum demand information through a wireless network controller, and transmitting the information to an NRM module through an information interaction interface; thirdly, calculating an interference matrix of the base station by the NRM module according to the received information and spectrum requirements, dividing a spectrum resource multi-granularity channel to obtain a channel set, and calculating the interference matrix; fourth, the distribution matrix A is used for carrying out the blocking processing,And (3) reconstructing according to the spectrum allocation result, starting timing through the GPS timing module, ending one period of operation, re-entering the first step to start spectrum reallocation, and obtaining the most available allocation when the step is ended. Through the processing of the steps, the searching efficiency in the allocation process is improved, dynamic allocation is adopted when spectrum allocation is carried out, the flexibility is high, the system consumption rate is reduced, and the system performance is improved.
Example six:
In the data transmission module, in the wireless communication process, a communication area node is set as q, when the node is connected with another area node, a monitoring message is sent in the T moment after meeting, the value of the area node q meets 0-T, and the distribution function of the wireless signal transmission safety node q meets: x (q < a) =a/T; in the formula, a is a constraint threshold, and the value range is 0-T; when a is less than 0, the probability that two area nodes will produce a communication is 1-x. The data probability F perceived by the communication area node satisfies: f=p (T f<t)＝(P(Ty<t)-P(Ty<0))/P(Ty < 0); in the above formula, T y is a period when the regional node y communicates, T is a communication time constraint threshold, and T f is a link data communication duration; in order to improve the security of wireless network data transmission, the regional node transmission control parameter c satisfies: c=λβ (1-P) E (T f); in the above formula, λ is the average transmission times of the wireless network area node, β is the data transmission rate of the area node, and E (T f) is the average value of the continuous transmission time of the area node; p is the probability that the area node directly generates communication data.
The device obtained by the technical scheme is a quick response wireless resource management method, and suitable channels are allocated according to the rate expression of the user, so that the requirements of different users are met, the resource allocation rate is improved, the system performance is improved, and the network rate of the user is improved; by setting the interference management module and combining deep learning, interference is restrained on signals, the influence of external interference is reduced, and the safety of data transmission is enhanced. The system automatically adjusts the number of the sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, the accumulated timing module is used for timing through the GPS timing module, time information is accurately provided, and on-time switching of the system functions is ensured. When the resources are allocated, the system improves the performance of the wireless network with poor performance by reducing the number of the subchannels of the wireless network with good performance, reduces the number of 1 subchannel when selecting the wireless network with good performance each time, and adds 1 to the number of the subchannels with poor performance. The time domain interference and the frequency domain interference are processed, the time domain and frequency domain characteristics are extracted according to the actual network performance and are used as proper input data information for network training, the interference suppression effect is improved, the safety of transmitted data is ensured, and the transmission performance of the system is not affected. The dynamic allocation is adopted for the allocation of the spectrum resources, so that the searching efficiency in the allocation process is improved, the dynamic allocation is adopted when the spectrum allocation is carried out, the flexibility is high, the system consumption rate is reduced, and the system performance is improved. The data transmission module improves the security of wireless network data transmission by limiting the parameters of the wireless transmission area nodes.
Other technical solutions not described in detail in the present invention are all prior art in the field, and are not described in detail herein.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, and various modifications and variations of the present invention will be apparent to those skilled in the art; any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A method for fast response radio resource management comprising the steps of: s1, a system is initialized to obtain the number of available sub-channels;
S2, after the first part of resource allocation is executed, the system evaluates whether the duration of the accumulated time reaching the set value is greater than the set value, and the set value is the update frequency of the second part of adjustment value;
S3, if the accumulated time is greater than the set value, the system adjusts the number of sub-channels of the network, so that the transmission performance of the system is improved, the network rate is improved, and if the accumulated time of the system reaches the set value again, dynamic adjustment is performed again;
s4, if the accumulated time is smaller than the set value, returning to the first step to carry out resource allocation again;
The dynamic adjustment process is that when the resource allocation is executed, the system improves the performance of the wireless network with poor performance by reducing the number of the wireless network sub-channels with good performance, and when the wireless network with good performance is selected each time, 1 sub-channel number is reduced, the number of the sub-channels with poor performance is increased by 1, and the condition between the wireless network f with poor performance and the wireless network g with good performance is satisfied, g= (N-1). F/N; in the above formula, g is the new wireless network performance after one channel is reduced;
In the process of dynamic adjustment, if the performance of the wireless network in the first part is poor, more sub-channels should be allocated in the dynamic adjustment process, R a in the wireless network m is set to be the actual user rate in each update time T, R t is set to be the target rate, and f is the performance of the wireless network, then f=r a/Rt; in the above formula, if f is greater than or equal to 1, it indicates that the wireless network can meet the use requirement of the user, if each f is less than 1, it indicates that the wireless network cannot meet the use requirement of the user, and if all f of each channel is less than 1, it indicates that each channel cannot meet the use requirement, in which case the system does not adjust the number of sub-channels;
After the resource allocation is completed, if the network is allocated to the number N of the sub-channels, in order to more effectively allocate the resources, the polling idea is adopted to select the network; setting n virtual networks in a region, allocating a sub-channel to a first network, then allocating a sub-channel to a second network until the n-th network allocates a sub-channel, and after the first round is finished, allocating the sub-channel to each virtual network again by the system iteration, and repeating the cycle; when channel allocation is performed, the sub-channel with the largest priority value and the corresponding user are allocated to the wireless network.
2. The method for managing radio resources with quick response according to claim 1, wherein the method for allocating resources comprises the steps of a) obtaining node information by a regional network node, wherein the node information comprises own parameters and node communication rate; and b, the upper computer acquires node information through the controller.
3. The method for managing radio resources with fast response according to claim 2, wherein the method for allocating resources further comprises step c of judging whether network resource allocation is required according to the node communication rate obtained by the regional node, if allocation is required, continuing to execute operation, and if allocation is not required, returning to step a to acquire node information again; step d, the system adjusts the number of sub-channels of the network according to the node information to generate a resource allocation file; and e, dynamically adjusting the number of the sub-channels of the network area node according to the generated resource allocation file.
4. The method according to claim 1, wherein the accumulation timing module counts time by the GPS timing module, accurately provides time information, and ensures on-time switching of system functions.
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