Base station power distribution method based on partition strategy

Abstract

The invention discloses a base station power distribution method based on a partition strategy, solves the problem of avoiding interference of a low-complexity IMT system on fixed satellite services, and belongs to the field of information technology and satellite communication. The method is used for realizing coexistence of an IMT-2020 service and a satellite fixed service in a frequency band of 12.75-13.25 GHz. The method comprises the following steps: dividing a ground base station into a plurality of areas; virtualizing all base stations in each area into a virtual large base station; determining the maximum transmitting power of each virtual large base station; calculating the lumped interference of each virtual large base station on the satellite fixed service; and according to the lumped interference of each virtual large base station on the satellite fixed service and the interference threshold value of the corresponding virtual large base station, performing power control on the virtual large base stations exceeding the interference threshold value to obtain an allowable maximum transmitting power, and according to the allowable maximum transmitting power, controlling the transmitting power of each base station in the partition.

Description

Technical Field

[0001] The invention relates to an interference avoidance technology between a satellite system and a ground base station system, and belongs to the field of information technology and satellite communication. Background Art

[0002] Over the past few decades, the development of mobile communications has promoted the progress of society. That is, the current mainstream mobile communication technology, IMT-2020 (5G), has the ability to support multiple key indicators such as ultra-high traffic data rates, extremely low latency and higher reliability. However, as traffic data continues to increase, it is necessary to explore the availability of spectrum resources that can support a wide and continuous channel bandwidth. At present, relevant research is actively conducting research on the possibility of coexistence of IMT-2020 with other existing radio services. However, most studies focus on analyzing the interference between IMT and satellite earth stations, while ignoring the interference received by satellite systems. This is because the satellite system is located at high altitude and the interference from IMT is small. However, for satellite systems that are sensitive to interference, the aggregate interference of many IMT base stations distributed over a large area may still have a serious impact. Therefore, in order to achieve complete coexistence of the two services, it is necessary to estimate the interference received by the existing satellite system. Generally, there are two main methods for calculating the aggregate interference: the first method is to calculate the interference power received by the satellite system from a single IMT system, and then multiply it by the number of IMTs distributed within the coverage of the satellite main beam. Another approach is to implement a single cell of an IMT network with hexagonal cells, calculate the interference received by the fixed satellite service (FSS) from this network, and find the maximum number of networks that meet the protection criteria.

[0003] Although relevant research has been conducted on IMT interference received by satellite systems, research on interference avoidance is still insufficient. How to suppress the interference of IMT systems to fixed satellite services with little or no impact on IMT systems and achieve complete coexistence of the two services is still an open topic. In addition, in GEO fixed satellite services, the orbit altitude of GEO satellites is high, the coverage area is large, and the number of IMT base stations covered is extremely large. When faced with a large number of IMT base stations, general power control or optimization methods require extremely high computational complexity and large-scale signaling interactions, which is almost impossible to achieve in actual deployment. Therefore, how to implement a low-complexity interference avoidance solution to promote coexistence between services is also a key issue to be solved. Summary of the invention

[0004] In order to solve the problem of how to avoid interference of a low-complexity IMT system to fixed satellite services, the present invention provides a base station power allocation method based on a partitioning strategy.

[0005] A base station power allocation method based on a partitioning strategy of the present invention is used to achieve coexistence of IMT-2020 services and fixed satellite services in the 12.75-13.25 GHz frequency band, and the method includes:

[0006] S1. Divide the ground base station into multiple areas;

[0007] S2, virtualizing all base stations in each area into a virtual large base station;

[0008] S3. Determine the maximum transmission power of each virtual large base station;

[0009] S4. Calculate the aggregate interference of each virtual large base station to the fixed satellite service;

[0010] S5. According to the aggregate interference of each virtual large base station to the fixed satellite service and the interference threshold value of the corresponding virtual large base station, power control is performed on the virtual large base station that exceeds the interference threshold value to obtain the maximum allowable transmission power, and the transmission power of each base station in the partition is controlled according to the maximum allowable transmission power.

[0011] Preferably, in S5, the method for controlling the transmit power of each base station in the partition according to the maximum allowed transmit power includes:

[0012] The maximum allowed transmission power is evenly distributed to all base stations in the corresponding zone, thereby determining the transmission power of the base stations in the zone.

[0013] Preferably, in S5, the method for controlling the transmit power of each base station in the partition according to the maximum allowed transmit power includes:

[0014] In the partition that exceeds the interference threshold, the transmission power is allocated according to the channel relationship between the user and the base station. The base station with better channel conditions has a greater transmission power. The sum of the transmission powers of all base stations in the partition shall not be greater than the maximum allowable transmission power obtained in the corresponding partition.

[0015] Preferably, in S5, the method for controlling the transmit power of each base station in the partition according to the maximum allowed transmit power includes:

[0016] Establish the objective function:

[0017]

[0018] Among them, P j represents the transmission power of the jth base station in the partition, N u Indicates the number of users in the partition. represents the maximum allowed transmission power of the nth virtual large base station that exceeds the interference threshold, N represents the number of base stations in the partition, and I totalThe total interference level caused by all base stations in the sector to the fixed-satellite service is expressed as I threshold Indicates the interference threshold of the virtual large base station;

[0019] R j represents the rate of the jth user in the partition, expressed as:

[0020]

[0021] G t represents the base station antenna gain in the direction of the satellite space receiver in the fixed satellite service, G r h is the gain of the satellite space receiver antenna in the direction of the base station in the fixed satellite service. j represents the channel coefficient, σ 2 represents the noise power;

[0022] The objective function is solved to obtain the transmission power of each base station in the partition.

[0023] Preferably, the method for solving the objective function includes:

[0024] The objective function is transformed into:

[0025]

[0026] Slack variable x j Satisfies: x i ≤P j G t G r |h j | 2 ;

[0027] The optimization solution is obtained through the solver to obtain the transmission power of each base station in the partition.

[0028] As a preferred embodiment, the aggregate interference of each virtual large base station to the fixed satellite service is I total -N0;

[0029] Among them, I total is the aggregate interference level caused to the fixed-satellite service by all base stations within the sector;

[0030]

[0031] N DL Indicates the number of BS sectors in the partition, represents the interference of the i-th BS sector in the partition;

[0032] N0 is the thermal noise power density of satellite space receivers in the fixed-satellite service within the sector;

[0033] N0=10*log(k*T*1000*B);

[0034] k is the Boltzmann constant, T is the temperature, and B is the bandwidth.

[0035] As a preference, The methods for obtaining include:

[0036] Establish a ground-to-air interference scenario model and obtain the number of ground base stations within the satellite coverage area;

[0037] Establish a fixed satellite service model and an IMT-2020 antenna model to obtain the base station antenna gain G in the direction of the satellite space receiver in the fixed satellite service. t and the gain G of the satellite space receiver antenna in the direction of the base station in the fixed satellite service r ;

[0038] Establish the satellite-to-ground channel model and obtain the propagation loss PL;

[0039] Get the interference of the i-th BS sector

[0040] P t It represents the base station signal power density, and OL is the ohmic loss of the transmitting station array.

[0041] The beneficial effects of the present invention are as follows: the present invention optimizes the power control in each partition. The complexity of IMT base station power control can be effectively reduced while avoiding a large amount of signaling interaction. Through the present invention, the satellite-ground stereoscopic network can improve the communication quality while realizing real-time perception of the environment, and can be applied to multiple fields such as intelligent transportation, environmental monitoring, and disaster warning. In addition, the present invention also conducts in-depth research on physical layer security and proposes a solution to ensure data transmission security. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 It is the AAS antenna unit;

[0043] Figure 2 is a flow chart of a power allocation method based on a partitioning strategy;

[0044] Figure 3 It is based on the probability distribution diagram of the aggregate interference from the ground network to the satellite;

[0045] Figure 4 is the I / N (dB) of each area to the satellite when the number of partitions is K = 1000, where the blue line represents the partition without power control (the threshold is = -34dB, empirical value);

[0046] Figure 5 is the transmission power value of the base stations in each area after power control when the number of partitions is K = 1000;

[0047] Figure 6 It is the CDF curve of the transmission power of the base stations in each area when the number of partitions is K = 1000;

[0048] Figure 7 is the performance of the channel gain power allocation method based on the partition strategy, (a) is the transmit power of the base station in the partition, and (b) is the rate of all users in the partition;

[0049] Figure 8 It is the performance of the maximum sum rate power allocation method based on the partition strategy, (a) is the user rate within the partition, and (b) is the CDF curve of all user rates. DETAILED DESCRIPTION

[0050] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0051] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments may be combined with each other.

[0052] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but they are not intended to limit the present invention.

[0053] Considering the GEO fixed satellite service scenario, which covers a large number of IMT base stations, the existing power control scheme faces great computational complexity and a large number of signaling interaction requirements when dealing with large-scale IMT base stations. Therefore, it is difficult to apply both at the algorithm level and the actual deployment level. This embodiment provides a base station power allocation method based on a partitioning strategy. First, the number of ground base stations in the coverage area, the number of partitions, the base stations and user distribution are determined, and the partitions are performed. The number of base stations in the partitions is given, and all base stations in each area are virtualized into a virtual large base station. The maximum transmission power of each virtual large base station is determined, and the aggregate interference of each virtual large base station to the fixed satellite service is calculated; this embodiment provides an interference analysis method to calculate the interference received by the satellite system from IMT2020, and the actual situation of the satellite receiving interference from the ground IMT-2020 is modeled and analyzed. The influence of IMT antennas, satellite antennas, satellite-to-ground channels, etc. is comprehensively considered, and the calculated interference-to-noise ratio is compared with the current protection standard to suggest the possibility of coexistence of IMT-2020 and fixed satellite services. According to the calculation results of the partition aggregate interference, this embodiment proposes an optimization method based on the partition strategy to perform power control on the virtual large base station that exceeds the interference threshold value, so that the sum of the transmission power of all base stations in the partition is not greater than the maximum transmission power allowed by the corresponding partition. Furthermore, three power control methods within the partition are considered, namely the average power control method, the power control method based on channel gain, and the power control method based on the maximum sum rate, and the power control within each partition is finely optimized. It can effectively reduce the complexity of IMT base station power control and avoid a large amount of signaling interaction.

[0054] In this embodiment, determining the number of ground base stations in the coverage area requires establishing a ground-to-air interference scenario model. When the FSS satellite operates normally in the 6GHz frequency band, its space station can receive signals and interference. As a new service in this channel, IMT-2020 may cause such harmful interference. First, the present invention calculates the coverage area of ​​the FSS satellite on the earth. According to the interference geometry, the coverage area S can be given by the following formula:

[0055] S=2πR 2 (1-cosα) (1)

[0056] Where R is the radius of the Earth and α is the central angle, which can be calculated as:

[0057] α=cos -1 (R / (R+H)) (2)

[0058] Then, due to the large footprint of FSS satellites in the earth station orbit, the IMT-2020 macro base station deployment density value Dl in sharing and compatibility studies can be calculated according to the following formula:

[0059] Dl=Ds×Ra×Rb (3)

[0060] Where D s is the density of the coverage area, that is, the density of base stations per square kilometer, R a (%) represents the ratio of the covered area to the urban / built-up area / region in the study, R b (%) represents the ratio of built-up area to the total area of ​​the region.

[0061] The number of IMT-2020 base stations located within the satellite coverage area is expressed as:

[0062] N IMT =S×Dl×f×f TDD , (4)

[0063] Where f is the network load factor, f TDD is the time division duplex activity factor.

[0064] In this implementation, the method for calculating the aggregate interference of each virtual large base station to the fixed satellite service includes:

[0065] Establish a fixed satellite service model and an IMT-2020 antenna model to obtain the base station antenna gain G in the direction of the satellite space receiver in the fixed satellite service. t and the gain G of the satellite space receiver antenna in the direction of the base station in the fixed satellite service r ;

[0066] Establishing IMT-2020 antenna model, active antenna system (AAS) technology is the key to achieve high transmitter gain in IMT-2020 network. ITU-R Recommendation M.2101 usually provides IMT-AAS antenna model for IMT-2020 spectrum sharing research. The antenna array consists of N antennas placed along the y-axis and z-axis respectively. h and N v Components such as Figure 1 shown.

[0067] Establish a fixed satellite service model. According to IMT-2020, for single-feed circular or elliptical beam spacecraft antennas in fixed satellite services, the following radiation patterns should be used as design indicators outside the coverage area:

[0068]

[0069] In the above formula, G(ψ) represents the gain (dBi) at an angle ψ away from the main beam direction. m represents the peak gain of the main lobe (dBi), ψ0 represents half of the 3dB beamwidth, which refers to the beam width below G m 3dB plane (°), LS represents the near-axis sidelobe level (dB) relative to the peak gain required by the system design, and z represents the (primary axis / secondary axis) of the radiation beam.

[0070] The antenna radiation pattern of a single-feed circular beam can be expressed as follows:

[0071]

[0072] Wherein, ψ1 represents the value of ψ when G(ψ)=0dBi.

[0073] Formula (5) and Formula (6) are used to calculate the radiation patterns of the elliptical beam (Formula 6) and circular beam (Formula 7) antennas respectively in this system. The subsequent G t and G r It can be either of these two, depending on the choice made during simulation or implementation.

[0074] A satellite-to-ground channel model is established to obtain the propagation loss PL, including the free spacepath loss (FSPL), clutter loss (CL) and shadow fading (SF) of the signal.

[0075] The unit of free space path loss is dB, which satisfies:

[0076] FSPL(d,f c )=32.45+20log 10 (f c )+20log 10 (d) (7)

[0077] Where, the slant distance between the satellite and the ground terminal is d, and f c is the carrier frequency (unit: GHz), d is related to the satellite’s orbital height, the geocentric angle μ, and the communication angle α. The specific relationship is as follows:

[0078] d=(R+h)sin(μ) / cos(α) (8)

[0079] By solving the equations together, we can know that the relationship between d and α is as follows:

[0080]

[0081] Clutter loss CL(α,f c ) simulates the signal power attenuation caused by surrounding buildings and ground objects. This depends on the elevation angle α, carrier frequency f c When the UE is in LOS state, the clutter loss can be ignored and is set to 0dB in the basic path loss model.

[0082] Shadow fading SF is a zero-mean normal distribution with a unit of dB and a standard deviation of Right now

[0083] In order to evaluate the aggregate interference caused by multiple IMT base stations to satellite space receivers in the fixed satellite service, the interference from each BS sector is first calculated as follows:

[0084]

[0085] Among them, P t is a base station signal power density in dBm / MHz. t It represents the base station antenna gain in dBi in the direction of the FSS satellite space receiver after viewing the beamforming antenna pattern. r It is the gain of the satellite space receiver antenna in the direction of the base station in the fixed satellite service after taking into account the off-axis angle, in dBi. OL is the ohmic loss of the transmitting station array, in dB.

[0086] Taking into account the TDD factor, the overall interference level caused by all base stations in the sector to the fixed satellite service is:

[0087]

[0088] The thermal noise power density of satellite space receivers in the fixed-satellite service within the sector is:

[0089] N0=10*log(k*T*1000*B)=-110.61(dBm / MHz) (12)

[0090] Finally, the aggregate interference I / N of each virtual large base station to the fixed satellite service is expressed as I total -N0.

[0091] This embodiment Figure 2 A flow chart of the power allocation method based on partitioning strategy is given in FIG.

[0092] In this embodiment, the average power allocation method is based on the partition strategy: after determining the maximum allowable transmission power of the virtual large base station in the partition, the average power allocation scheme will evenly distribute the maximum allowable transmission power to all base stations in the corresponding partition, thereby determining the transmission power of the IMT base station.

[0093] In this embodiment, the power allocation method based on channel gain: in the partition that exceeds the interference threshold value, the transmission power is allocated according to the channel relationship between the user and the base station. The base station with better channel conditions has a greater transmission power. The sum of the transmission powers of all base stations in the partition is not greater than the maximum transmission power allowed by the corresponding partition. Power allocation method based on maximum sum rate.

[0094] In this implementation, the power allocation method based on the maximum sum rate is:

[0095] Establish the objective function:

[0096]

[0097] Among them, P j represents the transmission power of the jth base station in the partition, N u Indicates the number of users in the partition. represents the maximum allowed transmission power of the nth virtual large base station that exceeds the interference threshold, N represents the number of base stations in the partition, and I total The total interference level caused by all base stations in the sector to the fixed-satellite service is expressed as I threshold Indicates the interference threshold of the virtual large base station;

[0098] Since the objective function in the optimization problem is non-convex, in order to solve the problem, the non-convex objective function is transformed into a convex function as follows:

[0099] Introduce slack variable x j Satisfies: x i ≤P j G t G r |h j | 2

[0100]

[0101] Then the optimization objective function of the original problem can be written as

[0102]

[0103] At this time, the problem is convex and the optimal solution can be obtained through the solver.

[0104] The above method is simulated. Figure 3 It can be found that when there is no interference control, the aggregate interference I / N value of the ground network to the satellite is concentrated in the range of 5.2-6.8dB, which exceeds the interference threshold by about 13dB. Therefore, an appropriate interference control scheme is needed to meet the I / N threshold requirements for network coexistence.

[0105] Figure 4In the paper, the simulation results of the proposed partition-based interference avoidance method are given. The ground base stations are divided into 1000 partitions. Considering the long distance between the satellite and the ground, the deployment location of the ground base stations is relatively small relative to the distance between the satellite and the ground. Therefore, the elevation angles of the base stations in the partition to the satellite can be approximately the same. The base stations in the partition are equivalent to a virtual large base station with a transmission power equal to the sum of all base stations in the partition, and the aggregate interference of the equivalent large base station to the satellite is measured. Figure 4 The total interference value of 1000 virtual large base stations to the satellite is given, and the respective interference threshold of -34dB is given based on experience. Figure 4 The blue line in the middle represents the partition that meets the interference threshold, that is, no power control is required, and the red line represents the partition that needs interference control. Figure 5 Given the transmission power value of each area base station after power control when the number of partitions is K = 1000, Figure 5 In the scheme, the base stations in each partition adopt the average power solution, so the transmission power of the base stations in the partition is consistent. Figure 5 Only the transmission power of base stations in different partitions is given. It can be seen that the transmission power of most base stations is greater than 25dBm / 100MHz. At the same time, due to the average power distribution of base stations, there are no dormant base stations. The CDF curve of the base station transmission power is given as follows: Figure 6 shown. Figure 6 It can be concluded that 60% of the base stations have a transmission power less than 46dBm, that is, 40% of the base stations in the network can send signals at their maximum transmission power.

[0106] observe Figure 7 It can be found that under this power allocation scheme, a small number of base stations get the vast majority of power due to their good channel conditions, and their service users have a correspondingly high rate, while the remaining base stations send information with very low power, so their service user rates are also low. Statistics show that under 100MHz bandwidth, the coverage rate of 50Mbps is only 34.95%.

[0107] For ease of observation, Figure 8 Taking a single partition as an example, the CDF curves of the user rate in a partition and the rates of all users are given. Table 1 gives a performance comparison of three different power control methods. The results in Table 1 show that the maximum ground network sum rate can be achieved without power control, which is about 9.2447kbps / Hz. However, at this time, the aggregate interference and noise ratio of the ground IMT base station to the satellite is about 6dB, far exceeding the threshold requirement of -6dB. Among the three power control algorithms, the power control algorithm based on the maximum sum rate can achieve the maximum sum rate performance, and its performance loss is the smallest compared to no power control. However, this scheme requires solving the optimization problem and has a high computational complexity. The average power allocation scheme can achieve a sum rate performance close to that of the method based on the maximum sum rate, while the required computational complexity is extremely low.

[0108] Table 1 Performance comparison of three different power control methods

[0109]

[0110] Although the present invention is described herein with reference to specific embodiments, it should be understood that these embodiments are merely examples of the principles and applications of the present invention. It should therefore be understood that many modifications may be made to the exemplary embodiments and that other arrangements may be devised without departing from the spirit and scope of the present invention as defined by the appended claims. It should be understood that the various dependent claims and features described herein may be combined in a manner different from that described in the original claims. It should also be understood that features described in conjunction with individual embodiments may be used in other described embodiments.

Claims

1. A base station power allocation method based on a partitioning strategy, characterized in that: The method is used to achieve coexistence of IMT-2020 services and fixed satellite services in the 12.75-13.25 GHz frequency band, and the method comprises: S1. Divide the ground base station into multiple areas; S2, virtualizing all base stations in each area into a virtual large base station; S3. Determine the maximum transmission power of each virtual large base station; S4. Calculate the aggregate interference of each virtual large base station to the fixed satellite service; S5. According to the aggregate interference of each virtual large base station to the fixed satellite service and the interference threshold value of the corresponding virtual large base station, power control is performed on the virtual large base station that exceeds the interference threshold value to obtain the maximum allowable transmission power, and the transmission power of each base station in the partition is controlled according to the maximum allowable transmission power.

2. The base station power allocation method based on partition strategy according to claim 1, characterized in that: In S5, the method for controlling the transmission power of each base station in the partition according to the maximum allowed transmission power includes: The maximum allowed transmission power is evenly distributed to all base stations in the corresponding zone, thereby determining the transmission power of the base stations in the zone.

3. The base station power allocation method based on partition strategy according to claim 1, characterized in that: In S5, the method for controlling the transmission power of each base station in the partition according to the maximum allowed transmission power includes: In the partition that exceeds the interference threshold, the transmission power is allocated according to the channel relationship between the user and the base station. The base station with better channel conditions has a greater transmission power. The sum of the transmission powers of all base stations in the partition shall not be greater than the maximum allowable transmission power obtained in the corresponding partition.

4. The base station power allocation method based on partition strategy according to claim 1, characterized in that: In S5, the method for controlling the transmission power of each base station in the partition according to the maximum allowed transmission power includes: Establish the objective function: Among them, P j represents the transmission power of the jth base station in the partition, N u Indicates the number of users in the partition. represents the maximum allowed transmission power of the nth virtual large base station that exceeds the interference threshold, N represents the number of base stations in the partition, and I total The total interference level caused by all base stations in the sector to the fixed-satellite service is expressed as I threshold Indicates the interference threshold of the virtual large base station; R j represents the rate of the jth user in the partition, expressed as: G t represents the base station antenna gain in the direction of the satellite space receiver in the fixed satellite service, G r h is the gain of the satellite space receiver antenna in the direction of the base station in the fixed satellite service. j represents the channel coefficient, σ 2 represents the noise power; The objective function is solved to obtain the transmission power of each base station in the partition.

5. The base station power allocation method based on partition strategy according to claim 4 is characterized in that: Methods for solving the objective function include: The objective function is transformed into: Slack variable x j Satisfies: x i ≤P j G t G r |h j | 2 ; The optimization solution is obtained through the solver to obtain the transmission power of each base station in the partition.

6. The base station power allocation method based on partition strategy according to claim 1, characterized in that: The aggregate interference of each virtual large base station to the fixed satellite service is I total -N0; Among them, I total is the aggregate interference level caused by all base stations in the sector to the FSS satellite; N DL Indicates the number of BS sectors in the partition, represents the interference of the i-th BS sector in the partition; N0 is the thermal noise power density of satellite space receivers in the fixed-satellite service within the sector; N0=10*log(k*T*1000*B); k is the Boltzmann constant, T is the temperature, and B is the bandwidth.

7. The base station power allocation method based on partition strategy according to claim 6, characterized in that: The methods for obtaining include: Establish a ground-to-air interference scenario model and obtain the number of ground base stations within the satellite coverage area; Establish a fixed satellite service model and an IMT-2020 antenna model to obtain the base station antenna gain G in the direction of the satellite space receiver in the fixed satellite service. t and the gain G of the satellite space receiver antenna in the direction of the base station in the fixed satellite service r ; Establish the satellite-to-ground channel model and obtain the propagation loss PL; Get the interference of the i-th BS sector P t It represents the base station signal power density, and OL is the ohmic loss of the transmitting station array.

8. A computer-readable storage device storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the base station power allocation method based on a partition strategy as claimed in any one of claims 1 to 7 are implemented.

9. A base station power allocation device based on a partitioning strategy, comprising a storage device, a processor, and a computer program stored in the storage device and executable on the processor, characterized in that: The processor executes the computer program to implement the steps of the base station power allocation method based on the partition strategy according to any one of claims 1 to 7.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the base station power allocation method based on the partition strategy as claimed in any one of claims 1 to 7 are implemented.

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