CN117811645A - Satellite frequency resource allocation and utilization rate calculation method - Google Patents
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Abstract
The invention relates to a method for calculating the allocation and utilization rate of satellite frequency resources, which comprises the steps of firstly constructing a two-dimensional coordinate system by taking a subnet coverage area as a coordinate space and taking frequency and time as a horizontal axis and a vertical axis respectively; acquiring the use time period of each allocated resource in the subnet and the corresponding use frequency band in the use time period one by one, and marking in a two-dimensional coordinate system to obtain an occupied resource area; collecting and pre-generating a resource region to be allocated according to the resource requirement to be allocated, and judging whether an overlapping region exists between the resource region to be allocated and the occupied resource region; if the overlapping area does not exist, generating a corresponding resource allocation decision, and finally carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area. According to the invention, the two-dimensional coordinate system is established, the allocated resources and the resources to be allocated are analyzed in the two-dimensional coordinate system, so that different subnets can multiplex the resources in different time, and the use conflict is avoided.
Description
Technical Field
The present invention relates to the field of satellite communications technologies, and in particular, to a method for allocating satellite frequency resources and calculating usage rate.
Background
In satellite communications, the spectrum resources are limited and there may be differences in the requirements of different sub-networks. Some subnets may occupy a lot of spectrum resources due to large traffic demands, resulting in degradation of communication quality of other subnets. In addition, as the demands of users are increasing, the shortage of spectrum resources and the difficulty of allocation are also increased.
In practice, some users or services may require more spectrum resources, while others may use less spectrum resources. This can lead to uneven spectrum usage such that some users or services may not have sufficient resources available, while other users or services may occupy too much resources.
Disclosure of Invention
The invention aims at reasonably distributing frequency band resources in different time periods aiming at different subnets, and avoids use conflicts.
The technical scheme provides a method for calculating the allocation and the utilization rate of satellite frequency resources, which comprises the following steps:
s1, respectively taking a subnet coverage area as a coordinate space, and respectively taking frequency and time as a horizontal axis and a vertical axis to build a two-dimensional coordinate system;
s2, acquiring the use time period of each allocated resource in the subnet and the corresponding use frequency band in the use time period one by one, and marking in a two-dimensional coordinate system to obtain occupied areas of all allocated resources, namely, occupied resource areas;
s3, collecting and pre-generating a resource region to be allocated according to the resource requirement to be allocated, and judging whether an overlapping region exists between the resource region to be allocated and the occupied resource region; if no overlapping area exists, generating a corresponding resource allocation decision, and entering the next step; if the overlapping area exists, the occupied resource area or the resource area to be allocated is adjusted and optimized according to the resource requirement to be allocated until a resource allocation decision can be generated;
s4, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
According to one aspect of the application, the horizontal axis of the two-dimensional coordinate system is time, the vertical axis is frequency band, and each point in the coordinate system is the coverage area of the subnet in a specific frequency band and time.
According to one aspect of the present application, the step S2 is further:
s21, collecting the use time of each allocated resource in the sub-network and the corresponding use frequency band in the use time period one by one;
s22, the acquired allocated resource information is marked in a two-dimensional coordinate system in sequence, and an occupied area of the allocated resource is generated.
According to one aspect of the present application, the step S3 is further:
s31, collecting resource requirements to be allocated; the resource requirements to be allocated comprise a required frequency range and a required time range;
s32, analyzing a use area required by the resources to be allocated according to the acquired requirements of the resources to be allocated;
s33, comparing the area required by the resources to be allocated with the occupied resource area, and judging whether the area overlap exists or not; if no overlapping area exists, generating a corresponding resource allocation decision; and if the overlapping area exists, adjusting and optimizing the occupied resource area or the resource area to be allocated according to the resource requirement to be allocated until a resource allocation decision can be generated.
According to one aspect of the application, the process of determining the overlapping area specifically includes: when the starting time T2 of the resource to be allocated is earlier than the ending time T1 'of the allocated resource, the ending time T2' of the resource to be allocated is later than the starting time T1 of the allocated resource, the starting frequency band H2 of the resource to be allocated is earlier than the ending frequency band H1 'of the resource to be allocated and the ending frequency band H2' of the resource to be allocated is later than the starting frequency band H1 of the resource to be allocated, the overlapping is judged.
According to an aspect of the application, the step S1 further includes:
step S11, acquiring the coordinates of each subnet coverage area and the spectrum data of each area, and respectively taking frequency, time and space as axes to establish a three-dimensional coordinate system;
step S12, recording coverage conditions of each subnet in different frequencies, time and space, wherein the coverage conditions comprise subnet numbers, frequency ranges, time ranges, space ranges and signal intensities, and forming a frequency spectrum data table;
step S13, recording indexes of coverage conditions of each subnet in different frequencies, time and space, wherein the indexes comprise subnet numbers, frequency indexes, time indexes and space indexes, and a frequency spectrum index table is formed.
According to one aspect of the present application, the step S2 further includes a step S23 of compressing and simplifying the spectrum data to generate a non-dominant beam code:
step S231, converting each beam number and each frequency band number into a binary character string respectively;
step S232, performing exclusive OR operation on the binary character strings of each beam number and each frequency band number to obtain a new binary character string;
step S233, each new binary character string is converted into decimal numbers, and each decimal character string is used as the codes of the beam and the frequency band, and each code is stored in a frequency spectrum data table and used as the identification of the beam and the frequency band.
According to an aspect of the application, the step S4 further includes:
step S41, defining a current spectrum data table and a spectrum index table as a resource allocation state, and representing the current resource use condition;
step S42, defining the resources allocated or released with one beam and frequency band as resource allocation actions, and representing the operation on the resources;
step S43, constructing a resource allocation reward through weighted sum of resource utilization, system throughput, interference level and signal to noise ratio;
step S44, constructing and training a deep neural network, and respectively outputting the optimal action and the maximum rewards under each state through the deep neural network by using a strategy and a cost function which approximate to resource allocation;
and step S45, searching and executing an optimal resource allocation decision, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
According to an aspect of the present application, in the step S45, the process of searching and executing the optimal resource allocation decision is further:
step S451, aiming at the multi-objective optimization problem, selecting an improved genetic algorithm to find a globally optimal solution or a suboptimal solution of resource allocation, and generating and updating candidate solutions of resource allocation through crossover, mutation and selection operations;
step S452, evaluating and comparing candidate solutions of resource allocation by using the pareto method, and selecting an optimal resource allocation scheme.
The method has the beneficial effects that the two-dimensional coordinate system is established, the allocated resources and the resources to be allocated are analyzed in the two-dimensional coordinate system, so that different subnets can multiplex the resources in different time, and the use conflict is avoided.
Drawings
FIG. 1 is a schematic flow chart of the method of the invention.
Fig. 2 is a schematic diagram of an application scenario of the present invention.
FIG. 3 is a schematic diagram of a two-dimensional coordinate system of the allocated resources of the present invention.
Fig. 4 is a schematic diagram of a two-dimensional coordinate system divided into a plurality of regions in the present embodiment.
Fig. 5 is a schematic diagram of a resource to be allocated in this embodiment.
Fig. 6 is a schematic diagram of partial region overlapping in the present embodiment.
Detailed Description
As shown in fig. 1, the present invention discloses a method for calculating allocation and usage of satellite frequency resources, which comprises the following steps:
s1, respectively taking a subnet coverage area as a coordinate space, and respectively taking frequency and time as a horizontal axis and a vertical axis to build a two-dimensional coordinate system.
S2, acquiring the use time period of each allocated resource in the sub-network and the corresponding use frequency band in the use time period one by one, and marking in a two-dimensional coordinate system to obtain occupied areas of all allocated resources, namely obtaining occupied resource areas.
S3, collecting and pre-generating a resource region to be allocated according to the resource requirement to be allocated, and judging whether an overlapping region exists between the resource region to be allocated and the occupied resource region; if no overlapping area exists, generating a corresponding resource allocation decision, and entering the next step; and if the overlapping area exists, adjusting and optimizing the occupied resource area or the resource area to be allocated according to the resource requirement to be allocated until a resource allocation decision can be generated.
S4, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
According to one aspect of the application, the horizontal axis of the two-dimensional coordinate system is time, the vertical axis is frequency band, and each point in the coordinate system is the coverage area of the subnet in a specific frequency band and time.
As shown in fig. 2, in a networking scenario of a communication satellite, there may be a usage conflict in allocating frequency band resources by multiple different subnets. In this embodiment, the time is also regarded as a resource, and the same frequency band can be multiplexed in different time periods.
As shown in fig. 3, the present embodiment describes available resources such as a frequency band (H0, H0 ') that is available over a period (T0, T0') by two-dimensional coordinates, and indicates occupied resources such as a frequency band (H1, H1 ') that is occupied over a period (T1, T') by an area on a plane.
As shown in fig. 4, the remaining available resources cannot be represented by one complete region, but can only be patched by multiple regions. As described below, if the number of the regions is 4 from left to right, the four regions are (T0, T0 ')/(H0, H1), (T0, T1)/(H1, H1 '), (T1 ', T0 ')/(H1, H1 '), (T0, T0 ')/(H1 ', H0), respectively.
As shown in fig. 5, although the remaining available resources can be described by stitching, it is difficult to solve the problem of subsequent resource allocation because the resources to be allocated may span multiple available areas, and the resources to be allocated are allocated over multiple different available areas.
As shown in fig. 6, if two areas are to overlap, the condition must be satisfied: t2< T1'& T2' > T1& H2< H1'& H2' > H1. So we only need to compare the resource to be allocated with the allocated resource record according to the condition when allocating the resource, and if there is no allocated record meeting the condition, it is proved that the resource to be allocated is available without conflict.
The present embodiment also proposes that the usage calculation at a certain moment can be directly represented by the used frequency band/total available resources, for example, the 10M resources use 5M, that is, 50%. However, if the resource usage rate is to be represented for a certain period of time, it is not easy to directly calculate the resource usage rate for this day, for example, if the resource is 10M, 3M is used in the morning and 6M is used in the afternoon.
Based on the above idea of using a two-dimensional coordinate system to represent allocated resources, the allocated resource occupancy is used to represent resource usage. Assuming that the total time width is t, the frequency band width is h, and the time width and the frequency band width of the ith allocated resource are respectively denoted as t i And h i Then we can calculate the resource usage over the t period as follows:
（Σ n i＝1 t i ×h i ）/（t×h）。
according to one aspect of the present application, the step S2 is further:
s21, the use time of each allocated resource in the sub-network and the corresponding use frequency band in the use time period are collected one by one.
S22, the acquired allocated resource information is marked in a two-dimensional coordinate system in sequence, and an occupied area of the allocated resource is generated.
According to one aspect of the present application, the step S3 is further:
s31, collecting resource requirements to be allocated; the resource requirements to be allocated include a required frequency band range and a time range.
S32, analyzing the required use area of the resources to be allocated according to the acquired requirements of the resources to be allocated.
S33, comparing the area required by the resources to be allocated with the occupied resource area, and judging whether the area overlap exists or not; if no overlapping area exists, generating a corresponding resource allocation decision; and if the overlapping area exists, adjusting and optimizing the occupied resource area or the resource area to be allocated according to the resource requirement to be allocated until a resource allocation decision can be generated.
According to one aspect of the application, the process of determining the overlapping area specifically includes: when the starting time T2 of the resource to be allocated is earlier than the ending time T1 'of the allocated resource, the ending time T2' of the resource to be allocated is later than the starting time T1 of the allocated resource, the starting frequency band H2 of the resource to be allocated is earlier than the ending frequency band H1 'of the resource to be allocated and the ending frequency band H2' of the resource to be allocated is later than the starting frequency band H1 of the resource to be allocated, the overlapping is judged.
In a further embodiment, the coverage area of each beam is comprehensively considered to establish a three-dimensional spectrum usage space, which is described below, and it should be noted that the content of the above embodiment may be adopted and omitted in this embodiment.
Step S11, acquiring the coordinates of each subnet coverage area and the spectrum data of each area, and respectively taking frequency, time and space as axes to establish a three-dimensional coordinate system;
and acquiring three-dimensional multi-domain spectrum data through spectrum sensing equipment by using a spectrum cognition intelligent management and control technology oriented to a low-orbit satellite. The system mainly comprises a spectrum data monitoring, complementing, predicting and deciding part, and is a dynamic spectrum cognitive closed-loop system from spectrum sensing to spectrum access. The spectrum sensing device can be a satellite-specific spectrum monitoring device or a crowd-sourced spectrum sensing module, and the intelligent terminal of a ground user or other wireless devices are utilized for cooperative sensing.
According to the frequency band used by the satellite, the frequency range is divided into a plurality of sub-frequency bands, and each sub-frequency band corresponds to a frequency index. According to the orbit period of the satellite, the time range is divided into a plurality of sub-time periods, and each sub-time period corresponds to one time index. According to the beam coverage of the satellite, the space range is divided into a plurality of subspace areas, and each subspace area corresponds to one space index. The coordinates of each sub-network coverage area are expressed as a triplet (frequency index, time index, spatial index), e.g., (10, 5, 3) for the 10 th sub-band, 5 th sub-period, 3 rd sub-space area.
Step S12, recording coverage conditions of each subnet in different frequencies, time and space, wherein the coverage conditions comprise subnet numbers, frequency ranges, time ranges, space ranges and signal intensities, and forming a frequency spectrum data table;
each subnet is assigned a unique subnet number that identifies the different subnets. For example, the subnet numbers may be assigned incrementally starting with 1 in the order of coordinates of the subnet coverage area, e.g., (1, 1) corresponding to subnet number 1, (1, 2) corresponding to subnet number 2, and so on. And calculating the frequency range, the time range and the space range of the subnet according to the coordinates of the subnet coverage area. For example, if the coordinates of the subnet coverage area are (10, 5, 3), then the frequency range of the subnet can be calculated to be 0.9-1GHz, the time range to be 20-25 minutes, and the spatial range to be 20-30, 10-20, according to the previous division method. And calculating the signal-to-noise ratio (SNR) of the sub-network according to the signal strength of the sub-network. The signal-to-noise ratio is an important indicator of signal quality, which reflects the ratio of signal to noise, with a larger signal indicating a clearer signal and easier signal reception.
The formula for the signal-to-noise ratio is snr=10log 10 fracP s P n ；P s Representing the power of the signal, P n Representing the power of the noise.
Through the steps, the information of each subnet is recorded in a frequency spectrum data table, each row in the table corresponds to one subnet, and each column corresponds to one attribute, such as a subnet number, a frequency range, a time range, a space range and a signal to noise ratio.
Step S13, recording indexes of coverage conditions of each subnet in different frequencies, time and space, wherein the indexes comprise subnet numbers, frequency indexes, time indexes and space indexes, and a frequency spectrum index table is formed.
If the coordinates of the coverage area of the subnet are (10, 5, 3), the frequency index of the subnet is 10, the time index is 5, and the spatial index is 3 can be obtained according to the previous dividing method. The information of each subnet is recorded in a spectrum index table, each row in the table corresponds to one subnet, and each column corresponds to one attribute, such as a subnet number, a frequency index, a time index and a spatial index. The spectrum index table is different from the spectrum data table in that the spectrum index table only records index information of the subnet, but does not record range and signal to noise ratio information of the subnet, thereby reducing storage space and transmission time of data.
Step S23, compressing and simplifying the spectrum data to generate non-dominant beam codes:
step S231, converting each beam number and each frequency band number into a binary character string respectively;
step S232, performing exclusive OR operation on the binary character strings of each beam number and each frequency band number to obtain a new binary character string;
step S233, each new binary character string is converted into decimal numbers, and each decimal character string is used as the codes of the beam and the frequency band, and each code is stored in a frequency spectrum data table and used as the identification of the beam and the frequency band.
Since the non-dominant beam coding has eliminated the bandwidth overlap constraint, there is no need to record the frequency range and frequency index of each subnet, only the beam coding of each subnet. For example, if the coordinates of the coverage area of the subnet are (10, 5, 3), the beam code of the subnet is 3 according to the previous calculation method, so that the frequency range and the frequency index of the subnet need only be replaced by the beam code 3 in the spectrum data table and the spectrum index table.
The spectral data is compressed and simplified to generate non-dominant beam codes, thereby facilitating subsequent resource allocation and utilization. The method can solve the technical problems of scarcity and complexity of spectrum resources in satellite communication, and achieves the technical effects of improving the utilization rate of the spectrum resources and reducing the system overhead.
The step S4 further includes:
step S41, defining a current spectrum data table and a spectrum index table as a resource allocation state, and representing the current resource use condition;
step S42, defining the resources allocated or released with one beam and frequency band as resource allocation actions, and representing the operation on the resources;
step S43, constructing a resource allocation reward through weighted sum of resource utilization, system throughput, interference level and signal to noise ratio;
step S44, constructing and training a deep neural network, and respectively outputting the optimal action and the maximum rewards under each state through the deep neural network by using a strategy and a cost function which approximate to resource allocation;
and step S45, searching and executing an optimal resource allocation decision, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
In this embodiment, the input layer of the policy network is a current spectrum data table and a spectrum index table, the output layer is probability distribution of each possible action, and the middle layer is a plurality of full-connection layers or convolution layers. The purpose of the policy network is to output the optimal actions in each state, i.e. the actions that maximize the desired rewards. Parameters of the policy network may be updated by a policy gradient method or other methods to improve the performance of the policy. The input layer of the value network is a current spectrum data table and a spectrum index table, the output layer is a desired reward of the current state, and the middle layer is a plurality of full-connection layers or convolution layers. The purpose of the value network is to output the maximum rewards per state, i.e. the desired rewards under the optimal policy. Parameters of the value network may be updated by bellman equations or other methods to improve the accuracy of the value. Experience playback and target network techniques are used to improve the learning efficiency and stability of resource allocation.
In the step S45, the process of searching and executing the optimal resource allocation decision is further as follows:
step S451, aiming at the multi-objective optimization problem, selecting an improved genetic algorithm to find a globally optimal solution or a suboptimal solution of resource allocation, and generating and updating candidate solutions of resource allocation through crossover, mutation and selection operations;
step S452, evaluating and comparing candidate solutions of resource allocation by using the pareto method, and selecting an optimal resource allocation scheme.
The joint resource allocation method based on the meta-heuristic algorithm is used, a genetic algorithm or an ant colony optimization algorithm and the like are used for searching a global optimal solution or a suboptimal solution of resource allocation, and meanwhile, a plurality of targets and constraints of the resource allocation, such as resource utilization rate, system throughput, interference level, signal to noise ratio and the like, are considered, so that the robustness and reliability of the resource allocation are realized.
And allocating or releasing the resources of the corresponding wave beams and frequency bands according to the resource allocation scheme, namely executing corresponding actions. For example, if the resource allocation scheme allocates resources with a beam code of 3, it is necessary to switch the resources of the beam and the frequency band from an idle state to an occupied state, i.e., perform an allocation action. If the resource allocation scheme is to release the resources with the beam code of 3, the resources of the beam and the frequency band need to be converted from the occupied state to the idle state, i.e. the release action is performed.
According to the allocation or release of the resources, the spectrum data table and the spectrum index table are updated, namely the corresponding states are updated. For example, if a resource with a beam code of 3 is allocated, the status of the resource of the beam and the frequency band needs to be marked from idle to occupied, i.e. updated to occupied, in the spectrum data table and the spectrum index table. If the resources of the beam code 3 are released, the states of the resources of the beam and the frequency band need to be marked from occupied to idle in a spectrum data table and a spectrum index table, namely the update states are idle.
Through the steps, an optimal or suboptimal resource allocation scheme can be found and executed, and the robustness and reliability of resource allocation are realized. The method can solve the technical problems of uncertainty and variability of resource allocation in satellite communication, and achieves the technical effect of improving the adaptability and stability of the resource allocation.
The preferred embodiments of the present invention have been described in detail above, but the present invention is not limited to the specific details of the above embodiments, and various equivalent changes can be made to the technical solution of the present invention within the scope of the technical concept of the present invention, and all the equivalent changes belong to the protection scope of the present invention.
Claims (9)
1. A method for calculating allocation and usage of satellite frequency resources, the method comprising the steps of:
s1, respectively taking a subnet coverage area as a coordinate space, and respectively taking frequency and time as a horizontal axis and a vertical axis to build a two-dimensional coordinate system;
s2, acquiring the use time period of each allocated resource in the subnet and the corresponding use frequency band in the use time period one by one, and marking in a two-dimensional coordinate system to obtain occupied areas of all allocated resources, namely, occupied resource areas;
s3, collecting and pre-generating a resource region to be allocated according to the resource requirement to be allocated, and judging whether an overlapping region exists between the resource region to be allocated and the occupied resource region; if no overlapping area exists, generating a corresponding resource allocation decision, and entering the next step; if the overlapping area exists, the occupied resource area or the resource area to be allocated is adjusted and optimized according to the resource requirement to be allocated until a resource allocation decision can be generated;
s4, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
2. The method according to claim 1, wherein the horizontal axis of the two-dimensional coordinate system is time, the vertical axis is frequency band, and each point in the coordinate system is coverage area of the sub-network in a specific frequency band and time.
3. The method for calculating the allocation and usage rate of satellite frequency resources according to claim 2, wherein said step S2 is further:
s21, collecting the use time of each allocated resource in the sub-network and the corresponding use frequency band in the use time period one by one;
s22, the acquired allocated resource information is marked in a two-dimensional coordinate system in sequence, and an occupied area of the allocated resource is generated.
4. The method for calculating the allocation and utilization rate of satellite frequency resources according to claim 3, wherein said step S3 is further:
s31, collecting resource requirements to be allocated; the resource requirements to be allocated comprise a required frequency range and a required time range;
s32, analyzing a use area required by the resources to be allocated according to the acquired requirements of the resources to be allocated;
s33, comparing the area required by the resources to be allocated with the occupied resource area, and judging whether the area overlap exists or not; if no overlapping area exists, generating a corresponding resource allocation decision; and if the overlapping area exists, adjusting and optimizing the occupied resource area or the resource area to be allocated according to the resource requirement to be allocated until a resource allocation decision can be generated.
5. The method for calculating the allocation and utilization rate of satellite frequency resources according to claim 4, wherein the overlapping region determining process specifically comprises: when the starting time T2 of the resource to be allocated is earlier than the ending time T1 'of the allocated resource, the ending time T2' of the resource to be allocated is later than the starting time T1 of the allocated resource, the starting frequency band H2 of the resource to be allocated is earlier than the ending frequency band H1 'of the resource to be allocated and the ending frequency band H2' of the resource to be allocated is later than the starting frequency band H1 of the resource to be allocated, the overlapping is judged.
6. The method for calculating the allocation and usage rate of satellite frequency resources according to claim 5, wherein said step S1 further comprises:
step S11, acquiring the coordinates of each subnet coverage area and the spectrum data of each area, and respectively taking frequency, time and space as axes to establish a three-dimensional coordinate system;
step S12, recording coverage conditions of each subnet in different frequencies, time and space, wherein the coverage conditions comprise subnet numbers, frequency ranges, time ranges, space ranges and signal intensities, and forming a frequency spectrum data table;
step S13, recording indexes of coverage conditions of each subnet in different frequencies, time and space, wherein the indexes comprise subnet numbers, frequency indexes, time indexes and space indexes, and a frequency spectrum index table is formed.
7. The method of calculating the allocation and utilization of satellite frequency resources according to claim 6, wherein said step S2 further comprises the step S23 of compressing and simplifying the spectral data to generate non-dominant beam codes:
step S231, converting each beam number and each frequency band number into a binary character string respectively;
step S232, performing exclusive OR operation on the binary character strings of each beam number and each frequency band number to obtain a new binary character string;
step S233, each new binary character string is converted into decimal numbers, and each decimal character string is used as the codes of the beam and the frequency band, and each code is stored in a frequency spectrum data table and used as the identification of the beam and the frequency band.
8. The method for calculating the allocation and utilization rate of satellite frequency resources according to claim 7, wherein said step S4 further comprises:
step S41, defining a current spectrum data table and a spectrum index table as a resource allocation state, and representing the current resource use condition;
step S42, defining the resources allocated or released with one beam and frequency band as resource allocation actions, and representing the operation on the resources;
step S43, constructing a resource allocation reward through weighted sum of resource utilization, system throughput, interference level and signal to noise ratio;
step S44, constructing and training a deep neural network, and respectively outputting the optimal action and the maximum rewards under each state through the deep neural network by using a strategy and a cost function which approximate to resource allocation;
and step S45, searching and executing an optimal resource allocation decision, carrying out actual spectrum resource allocation according to the resource allocation decision, and updating the occupied resource area.
9. The method according to claim 8, wherein the process of finding and executing the optimal resource allocation decision in step S45 is further as follows:
step S451, aiming at the multi-objective optimization problem, selecting an improved genetic algorithm to find a globally optimal solution or a suboptimal solution of resource allocation, and generating and updating candidate solutions of resource allocation through crossover, mutation and selection operations;
step S452, evaluating and comparing candidate solutions of resource allocation by using the pareto method, and selecting an optimal resource allocation scheme.
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