A method for allocating resources of drone base stations in a communication and perception integrated system

Abstract

The present invention discloses a method for allocating resources of a UAV base station in a communication and perception integrated system, the method comprising the following steps: 1. constructing a communication and perception integrated system; 2. obtaining t ISAC base station on drone to communicate with users at all times n The communication rate and the ISAC base station on the drone to perceive the user m Mutual information; 3. Obtain the spectrum efficiency of the synaesthesia integrated system based on the communication rate and mutual information; 4. Obtain the reward score function for the resource allocation of the ISAC base station on the drone; 5. Obtain the ISAC base station on the drone for N Communication users and M The method of the present invention has simple steps, adopts DDPG algorithm and greedy algorithm, and allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index, so as to maximize the fairness of the system and improve the overall performance of system communication and perception.

Description

Technical Field

[0001] The present invention belongs to the technical field of unmanned aerial vehicle (UAV) ISAC resource allocation, and in particular relates to a method for allocating resources of an unmanned aerial vehicle base station in a communication and perception integrated system. Background Art

[0002] ISAC is considered one of the key technologies for next-generation communications. Drones are widely used as aerial base stations in ISAC systems due to their wide-area coverage, high mobility, and line-of-sight links. Currently, the resource allocation of drone-based ISAC base stations targets scenarios that only include communication users. However, when a single drone serves multiple communication users and perception users in the ISAC base station scenario, effective allocation is not possible.

[0003] In the integrated communication and perception system with multiple communication users and perception users, in order to achieve fair service, the transmission power of the UAV is optimized to maximize the fairness of the system while ensuring the communication and perception performance.

[0004] Therefore, there is a lack of a rationally designed communication perception integrated system UAV base station resource allocation method, using the DDPG algorithm and The greedy algorithm allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index. While ensuring the overall performance of the system, it maximizes the fairness of the system and improves the overall performance of communication and perception in the synaesthesia integrated system. Summary of the invention

[0005] The technical problem to be solved by the present invention is to provide a method for allocating resources of a UAV base station in a communication and perception integrated system in view of the deficiencies in the above-mentioned prior art. The method has simple steps and reasonable design, and adopts the DDPG algorithm and The greedy algorithm allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index. While ensuring the overall performance of the system, it maximizes the fairness of the system and improves the overall performance of communication and perception in the synaesthesia integrated system.

[0006] In order to solve the above technical problems, the technical solution adopted by the present invention is: a method for allocating resources of a UAV base station in a communication and perception integrated system, characterized in that the method comprises the following steps:

[0007] Step 1: Construction of integrated communication and perception system:

[0008] The communication and perception integrated system includes the presence of Communication users and ISAC base stations carried by drones over sensing users and ground target areas; among them, and are all positive integers, represents the total number of communication users, represents the total number of perceived users;

[0009] Step 2: Get ISAC base station on drone to communicate with users at all times Communication rate The ISAC base station on the drone senses the user Mutual information ;in, and are all positive integers, and , ;

[0010] Step 3: Obtain the spectrum efficiency of the synaesthesia integrated system based on the communication rate and mutual information:

[0011] Using computer according to the formula , and the spectrum efficiency of the synaesthesia integrated system is obtained ;in, represents the emphasis coefficient of communication, represents the perceived emphasis coefficient, and The value range of is 0 to 1, and ;

[0012] Step 4: Get the reward score function for ISAC base station resource allocation on the drone:

[0013] Step 401: Obtaining a communication fairness index and perceived fairness index ;

[0014] Step 402: Using a computer according to the formula , and obtain the system fairness index of the synaesthesia integrated system ;

[0015] Step 403: Using a computer according to the formula ,get Reward score function for ISAC base station resource allocation on the drone at the moment ;in, represents the emphasis on spectrum efficiency, represents the emphasis on system fairness, and The value range of is 0 to 1, and ;

[0016] Step 5. Input Communication users and The DDPG algorithm and Greedy algorithm combination, based on reward score function Assign and obtain the ISAC base station pair on the drone Communication users and The power allocation strategy for each user is aware of the user.

[0017] The above-mentioned communication perception integrated system UAV base station resource allocation method, step five, the specific process is as follows:

[0018] set up time Communication users and The state of the sensing user relative to the drone is recorded as ,and ;in, express Moment drones and communication users The straight-line distance, express Momentary drones and perceived users Straight-line distance; Probability coefficient in greedy algorithm The value is 0.01.

[0019] The above-mentioned communication perception integrated system UAV base station resource allocation method, step 2 obtains ISAC base station on drone to communicate with users at all times Communication rate The communication fairness index is obtained in step 401, and the specific process is as follows:

[0020] Step A: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user LoS link probability of signal transmission ;in, represents the first constant related to the environment, , represents the second constant related to the environment, , Indicates the deployment altitude of the drone, express Moment drones and communication users Straight-line distance;

[0021] Step B: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss in LoS link ;in, represents the additional loss under LoS link, represents the speed of light, Indicates the signal carrier frequency;

[0022] Step C: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss under NLoS link ;in, represents the additional loss under NLoS link;

[0023] Step D: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user The path loss ;

[0024] Step E: Use a computer to calculate the ,get Time communication users The received power at ;in, Indicates the ISAC base station on the drone to the communication user The distribution power;

[0025] Using computer according to the formula ,get ISAC base station on drone to communicate with users at all times Communication rate ;in, represents the noise power;

[0026] Step F: Use a computer to calculate the and ,get Time Communication Fairness Index ;in, Represents the first intermediate parameter.

[0027] The above-mentioned communication perception integrated system UAV base station resource allocation method, the additional loss under the NLoS link Greater than the additional loss of the LoS link , additional loss in LoS link The value range is (0dB, 50dB), the additional loss under NLoS link The value range is (10dB, 100dB).

[0028] In the above-mentioned communication perception integrated system drone base station resource allocation method, in step 2, the ISAC base station on the drone is obtained to perceive the user Mutual information The perceived fairness index is obtained in step 401, and the specific process is as follows:

[0029] Step A01: According to the method of step A to step D, obtain The ISAC base station on the drone senses the user at any time The path loss ;

[0030] Step A02: Use a computer to calculate the ,get Always aware of users The received power at ;in, Indicates that the ISAC base station on the drone perceives the user The distribution power;

[0031] Step A03: Use a computer to calculate the ,get ISAC base station on drone senses user at all times Mutual information ;

[0032] Step A04: Use a computer to calculate the and ,get Perceived fairness index of drones at all times ;in, Represents the second intermediate parameter.

[0033] Compared with the prior art, the present invention has the following advantages:

[0034] 1. The method of the present invention has simple steps and reasonable design, and realizes communication and perception resource allocation of the communication and perception integrated system.

[0035] 2. The present invention firstly uses the ISAC base station on the drone to communicate with the user The communication rate and the ISAC base station on the drone to perceive the user The mutual information of the synaesthesia integrated system is used to obtain the spectrum efficiency, and the system fairness index of the synaesthesia integrated system is obtained according to the communication fairness index and the perception fairness index. Finally, based on the spectrum efficiency and the system fairness index, a reward scoring function for the ISAC base station resource allocation on the UAV is established, which can effectively integrate the communication fairness index and the perception fairness index and improve the overall performance.

[0036] 3. The present invention adopts DDPG algorithm and The greedy algorithm allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index. While ensuring the overall performance of the system, it maximizes the fairness of the system and improves the overall performance of communication and perception in the synaesthesia integrated system.

[0037] 4. In the DDPG algorithm, the present invention adds The greedy algorithm improves the exploration capability, can quickly obtain the optimal solution, and improves the accuracy of strategic allocation of power resources.

[0038] In summary, the method of the present invention has simple steps and reasonable design. The greedy algorithm allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index. While ensuring the overall performance of the system, it maximizes the fairness of the system and improves the overall performance of communication and perception in the synaesthesia integrated system.

[0039] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 The figure is a flowchart of the method of the present invention. DETAILED DESCRIPTION

[0041] like Figure 1 A method for allocating resources of a UAV base station in a communication and perception integrated system is shown, comprising the following steps:

[0042] Step 1: Construction of integrated communication and perception system:

[0043] The communication and perception integrated system includes the presence of Communication users and ISAC base stations carried by drones over sensing users and ground target areas; among them, and are all positive integers, represents the total number of communication users, represents the total number of perceived users;

[0044] Step 2: Get ISAC base station on drone to communicate with users at all times Communication rate The ISAC base station on the drone senses the user Mutual information ;in, and are all positive integers, and , ;

[0045] Step 3: Obtain the spectrum efficiency of the synaesthesia integrated system based on the communication rate and mutual information:

[0046] Using computer according to the formula , and the spectrum efficiency of the synaesthesia integrated system is obtained ;in, represents the emphasis coefficient of communication, represents the perceived emphasis coefficient, and The value range of is 0 to 1, and ;

[0047] Step 4: Get the reward score function for ISAC base station resource allocation on the drone:

[0048] Step 401: Obtaining a communication fairness index and perceived fairness index ;

[0049] Step 402: Using a computer according to the formula , and obtain the system fairness index of the synaesthesia integrated system ;

[0050] Step 403: Using a computer according to the formula ,get Reward score function for ISAC base station resource allocation on the drone at the moment ;in, represents the emphasis on spectrum efficiency, represents the emphasis on system fairness, and The value range of is 0 to 1, and ;

[0051] Step 5. Input Communication users and The DDPG algorithm and Greedy algorithm combination, based on reward score function Assign and obtain the ISAC base station pair on the drone Communication users and The power allocation strategy for each user is aware of the user.

[0052] In this embodiment, step five, the specific process is as follows:

[0053] set up time Communication users and The state of the sensing user relative to the drone is recorded as ,and ;in, express Moment drones and communication users The straight-line distance, express Momentary drones and perceived users Straight-line distance; Probability coefficient in greedy algorithm The value is 0.01.

[0054] In this embodiment, in step 2, ISAC base station on drone to communicate with users at all times Communication rate The communication fairness index is obtained in step 401, and the specific process is as follows:

[0055] Step A: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user LoS link probability of signal transmission ;in, represents the first constant related to the environment, , represents the second constant related to the environment, , Indicates the deployment altitude of the drone, express Moment drones and communication users Straight-line distance;

[0056] Step B: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss in LoS link ;in, represents the additional loss under LoS link, represents the speed of light, Indicates the signal carrier frequency;

[0057] Step C: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss under NLoS link ;in, represents the additional loss under NLoS link;

[0058] Step D: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user The path loss ;

[0059] Step E: Use a computer to calculate the ,get Time communication users The received power at ;in, Indicates the ISAC base station on the drone to the communication user The distribution power;

[0060] Using computer according to the formula ,get ISAC base station on drone to communicate with users at all times Communication rate ;in, represents the noise power;

[0061] Step F: Use a computer to calculate the and ,get Time Communication Fairness Index ;in, Represents the first intermediate parameter.

[0062] In this embodiment, the additional loss under the NLoS link Greater than the additional loss of the LoS link , additional loss in LoS link The value range is (0dB, 50dB), the additional loss under NLoS link The value range is (10dB, 100dB).

[0063] In this embodiment, in step 2, the ISAC base station on the drone senses the user. Mutual information The perceived fairness index is obtained in step 401, and the specific process is as follows:

[0064] Step A01: According to the method of step A to step D, obtain The ISAC base station on the drone senses the user at any time The path loss ;

[0065] Step A02: Use a computer to calculate the ,get Always aware of users The received power at ;in, Indicates that the ISAC base station on the drone perceives the user The distribution power;

[0066] Step A03: Use a computer to calculate the ,get ISAC base station on drone senses user at all times Mutual information ;

[0067] Step A04: Use a computer to calculate the and ,get Perceived fairness index of drones at all times ;in, Represents the second intermediate parameter.

[0068] In this embodiment, the full name of DDPG is Deep Deterministic Policy Gradient, and the DDPG algorithm is a deep deterministic policy gradient algorithm.

[0069] In this embodiment, Probability coefficient in greedy algorithm The value is 0.01.

[0070] In this embodiment, in step 5, the DDPG algorithm is used to The greedy algorithm selects actions, that is, Probabilistically select the action (utilization) that the current policy network considers optimal, with probability Choose an action at random (exploration).

[0071] In this embodiment, the noise power The value is 5×10 -11 .

[0072] In this embodiment, the first constant related to the environment is 9.61, the second constant related to the environment It is 0.28.

[0073] In this embodiment, it is further preferred that the additional loss under the LoS link The additional loss of NLoS link is 1dB. is 20dB.

[0074] In this embodiment, the method of the present invention is used for simulation. The spectrum efficiency and the system fairness index are a pair of contradictory quantities, that is, when the spectrum efficiency increases, the system fairness index decreases. Because in order to obtain a higher spectrum efficiency, it is necessary to allocate a larger power to users who are closer to the drone, the communication rate or mutual information of the edge users will be smaller, and the system fairness index will become smaller; and in order to obtain a larger system fairness index, most of the power is allocated to the perceiving users, which will also lead to a decrease in spectrum efficiency. Therefore, it is unrealistic to increase and converge the spectrum efficiency and the system fairness index at the same time, and it can only be adjusted according to actual needs.

[0075] In summary, the method of the present invention has simple steps and reasonable design. The greedy algorithm allocates resources based on the reward score function formed by spectrum efficiency, communication fairness index and perception fairness index. While ensuring the overall performance of the system, it maximizes the fairness of the system and improves the overall performance of communication and perception in the synaesthesia integrated system.

[0076] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any way. Any simple modification, change and equivalent structural change made to the above embodiment based on the technical essence of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for allocating resources of drone base stations in a communication and perception integrated system, characterized in that: The method comprises the following steps: Step 1: Construction of integrated communication and perception system: The communication and perception integrated system includes the presence of Communication users and ISAC base stations carried by drones over sensing users and ground target areas; among them, and are all positive integers, represents the total number of communication users, represents the total number of perceived users; Step 2: Get ISAC base station on drone to communicate with users at all times Communication rate The ISAC base station on the drone senses the user Mutual information ;in, and are all positive integers, and , ; Step 3: Obtain the spectrum efficiency of the synaesthesia integrated system based on the communication rate and mutual information: Using computer according to the formula , and the spectrum efficiency of the synaesthesia integrated system is obtained ;in, represents the emphasis coefficient of communication, represents the perceived emphasis coefficient, and The value range of is 0 to 1, and ; Step 4: Get the reward score function for ISAC base station resource allocation on the drone: Step 401: Obtaining a communication fairness index and perceived fairness index ; Step 402: Using a computer according to the formula , and obtain the system fairness index of the synaesthesia integrated system ; Step 403: Using a computer according to the formula ,get Reward score function for ISAC base station resource allocation on the drone at the moment ;in, represents the emphasis on spectrum efficiency, represents the emphasis on system fairness, and The value range of is 0 to 1, and ; Step 5. Input Communication users and The DDPG algorithm and Greedy algorithm combination, based on reward score function Assign and obtain the ISAC base station pair on the drone Communication users and The power allocation strategy for each user is aware of the user.

2. A method for allocating resources of a drone base station in a communication and perception integrated system according to claim 1, characterized in that: Step 5: The specific process is as follows: set up time Communication users and The state of the sensing user relative to the drone is recorded as ,and ;in, express Moment drones and communication users The straight-line distance, express Momentary drones and perceived users Straight-line distance; Probability coefficient in greedy algorithm The value is 0.

01.

3. A method for allocating resources of a drone base station in a communication and perception integrated system according to claim 1, characterized in that: Obtained in step 2 ISAC base station on drone to communicate with users at all times Communication rate The communication fairness index is obtained in step 401, and the specific process is as follows: Step A: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user LoS link probability of signal transmission ;in, represents the first constant related to the environment, , represents the second constant related to the environment, , Indicates the deployment altitude of the drone, express Moment drones and communication users Straight-line distance; Step B: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss in LoS link ;in, represents the additional loss under LoS link, represents the speed of light, Indicates the signal carrier frequency; Step C: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user Path loss under NLoS link ;in, represents the additional loss under NLoS link; Step D: Use a computer to calculate the ,get Time from the ISAC base station on the drone to the communication user The path loss ; Step E: Use a computer to calculate the ,get Time communication users The received power at ;in, Indicates the ISAC base station on the drone to the communication user The distribution power; Using computer according to the formula ,get ISAC base station on drone to communicate with users at all times Communication rate ;in, represents the noise power; Step F: Use a computer to calculate the and ,get Time Communication Fairness Index ;in, Represents the first intermediate parameter.

4. A method for allocating resources of a drone base station in a communication and perception integrated system according to claim 3, characterized in that: Additional loss in NLoS links Greater than the additional loss of the LoS link , additional loss in LoS link The value range is (0dB, 50dB), the additional loss under NLoS link The value range is (10dB, 100dB).

5. According to the method for allocating resources of a drone base station in a communication and perception integrated system of claim 3, it is characterized by: In step 2, the ISAC base station on the drone is obtained to perceive the user Mutual information The perceived fairness index is obtained in step 401, and the specific process is as follows: Step A01: According to the method of step A to step D, obtain The ISAC base station on the drone senses the user at any time The path loss ; Step A02: Use a computer to calculate the ,get Always aware of users The received power at ;in, Indicates that the ISAC base station on the drone perceives the user The distribution power; Step A03: Use a computer to calculate the ,get ISAC base station on drone senses user at all times Mutual information ; Step A04: Use a computer to calculate the and ,get Perceived fairness index of drones at all times ;in, Represents the second intermediate parameter.

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