CN-120186790-B - Unmanned aerial vehicle base station resource allocation method, device, equipment and storage medium based on layered game

CN120186790BCN 120186790 BCN120186790 BCN 120186790BCN-120186790-B

Abstract

The application discloses a method, a device, equipment and a storage medium for unmanned aerial vehicle base station resource allocation based on layered game, which relate to the technical field of data communication and comprise the steps of acquiring access link transmission information and return link transmission information of a macro base station, an unmanned aerial vehicle base station and a user terminal when carrying out wireless information return operation, and flight position information of the unmanned aerial vehicle base station, and splitting the unmanned aerial vehicle base station resource allocation problem into an association relation optimization problem corresponding to a user level and a transmission resource optimization problem corresponding to a resource level; and determining target personal utility and target resource backhaul effect corresponding to the two models in a game equilibrium state to obtain a target resource allocation strategy for carrying out wireless information backhaul operation by the unmanned aerial vehicle base station. Therefore, the user association state can be accurately analyzed, and the optimal allocation of unmanned aerial vehicle base station resources is realized.

Inventors

HUANG BO
ZHOU YAN
CHEN JIE
CHEN YONGQIANG
DAI GUIPING

Assignees

苏州市职业大学

Dates

Publication Date: 20260512
Application Date: 20250422

Claims (10)

1. The unmanned aerial vehicle base station resource allocation method based on layered game is characterized by comprising the following steps: Acquiring access link transmission information and return link transmission information of a macro base station, an unmanned aerial vehicle base station and a user side when carrying out wireless information return operation, and flight position information of the unmanned aerial vehicle base station; splitting the unmanned aerial vehicle base station resource allocation problem into an association relation optimization problem corresponding to a user level and a transmission resource optimization problem corresponding to a resource level based on the access link transmission information, the return link transmission information and the flight position information, wherein the association relation optimization problem is an optimization problem aiming at a network association relation established between the user side and a target base station and used for carrying out wireless information return operation; Modeling the receiving rate of the user side and the transmission resource of the target base station respectively to obtain a first game model corresponding to the association relation optimization problem and a second game model corresponding to the transmission resource optimization problem; and determining target personal utility and target resource feedback utility respectively corresponding to the first game model and the second game model in a game equilibrium state, and determining a target resource allocation strategy of the unmanned aerial vehicle base station for carrying out the wireless information feedback operation based on the target personal utility and the target resource feedback utility.
2. The method for allocating resources of an unmanned aerial vehicle base station based on layered game according to claim 1, wherein the steps of obtaining access link transmission information and backhaul link transmission information of a macro base station, the unmanned aerial vehicle base station and a user terminal when performing wireless information backhaul operation, and flight position information of the unmanned aerial vehicle base station include: Establishing a network association relation between a user terminal and a macro base station as well as between an unmanned aerial vehicle base station based on a user auction mode, and establishing network connection among the macro base station, the unmanned aerial vehicle base station and the user terminal based on the network association relation so as to carry out wireless information feedback operation; determining flight position information of the unmanned aerial vehicle base station based on the horizontal deployment position and the vertical deployment position of the unmanned aerial vehicle base station and corresponding flight periods; Determining a first access link transmission rate corresponding to the unmanned aerial vehicle base station according to the first transmission power, the noise power spectrum density of the unmanned aerial vehicle base station and a first channel gain set of a user side with a network association relation with the unmanned aerial vehicle base station; Determining a second access link transmission rate corresponding to the macro base station according to a second transmission power of the macro base station, noise power spectrum density and a second channel gain set of a user end with a network association relation with the macro base station; and determining the backhaul link transmission information of the unmanned aerial vehicle base station based on a preset backhaul link transmission bandwidth allocation ratio.
3. The method for allocating resources of an unmanned aerial vehicle base station based on hierarchical game according to claim 2, wherein the modeling the receiving rate of the user terminal and the transmission resources of the target base station respectively to obtain a first game model corresponding to the association optimization problem and a second game model corresponding to the transmission resource optimization problem includes: modeling the receiving rate of the user side based on a preset evolutionary game model to obtain a first game model corresponding to the association relation optimization problem; And modeling transmission resources of the unmanned aerial vehicle base station and the macro base station based on a preset Stark primary game comprehensive research method to obtain a second game model corresponding to the transmission resource optimization problem.
4. The unmanned aerial vehicle base station resource allocation method based on the hierarchical game according to claim 3, wherein the modeling the receiving rate of the user terminal based on the preset evolutionary game model to obtain the first game model corresponding to the association optimization problem comprises: Determining the user side as a game participant when carrying out wireless information feedback operation, and determining the current association quantity of the user side with the network association relation with the target base station as a game strategy; constructing a participant utility model corresponding to the game participant based on the first access link transmission rate, the second access link transmission rate and the game policy; And constructing a replicator dynamic model corresponding to the game participants, and determining a first game model corresponding to the association relation optimization problem based on the participant utility model and the replicator dynamic model.
5. The hierarchical game based unmanned aerial vehicle base station resource allocation method according to claim 4, wherein the method for comprehensively researching the pre-set stark primary game models transmission resources of the unmanned aerial vehicle base station and the macro base station to obtain a second game model corresponding to the transmission resource optimization problem comprises the following steps: determining wireless information return profit of the unmanned aerial vehicle base station in the wireless information return operation based on the difference between the charge of the unmanned aerial vehicle base station to the user side and the charge of the unmanned aerial vehicle base station to the macro base station in a user auction mode; Determining wireless information return cost corresponding to the first access link transmission rate, the second access link transmission rate and the preset return link transmission bandwidth allocation ratio, and modeling the utility of the unmanned aerial vehicle base station based on the wireless information return profit and the wireless information return cost to obtain a first utility submodel; And modeling the utility of the macro base station based on the profit and the paying cost difference obtained from the unmanned aerial vehicle base station and the user side by the macro base station during the wireless information feedback operation to obtain a second utility sub-model, and determining a second game model corresponding to the transmission resource optimization problem based on the first utility sub-model and the second utility sub-model.
6. The hierarchical game based unmanned aerial vehicle base station resource allocation method according to claim 5, wherein the determining the target personal utility and the target resource backhaul utility respectively corresponding to the first game model and the second game model in the game equilibrium state comprises: adjusting the game strategy in the participant utility model based on the flight position information of the unmanned aerial vehicle base station, the preset backhaul link transmission bandwidth allocation ratio and the replicator dynamic model to obtain the current personal utility of the participant utility model; Determining new current association quantity of users with network association relation with the target base station based on the current personal utility; determining the current resource feedback utility corresponding to the second game model based on the current association quantity, and determining new flight position information of the unmanned aerial vehicle base station and a new preset feedback link transmission bandwidth allocation ratio based on the current resource feedback utility; And jumping to the step of adjusting the game strategy in the participant utility model based on the flight position information of the unmanned aerial vehicle base station, the preset feedback link transmission bandwidth distribution ratio and the replicator dynamic model to obtain the current personal utility of the participant utility model until a preset game equilibrium state is met, so as to obtain the target personal utility and the target resource feedback utility which are respectively determined.
7. The hierarchical game based unmanned aerial vehicle base station resource allocation method according to claim 6, wherein the determining the current resource backhaul utility corresponding to the second game model based on the current association number comprises: fixing the utility of the macro base station in the second utility sub-model, and converting the first utility sub-model based on the feedback link transmission information and the current association number to obtain a first constraint control problem; fixing the utility of the unmanned aerial vehicle base station in the first utility sub-model, and converting the second utility sub-model based on the preset backhaul link transmission bandwidth allocation ratio and the current association number to obtain a second constraint control problem; And determining the optimal solutions corresponding to the first constraint control problem and the second constraint control problem based on the Pontrigineous maximum principle so as to obtain the current resource feedback utility corresponding to the second game model in the open-loop Stark balance state.
8. Unmanned aerial vehicle basic station resource allocation device based on layering recreation, characterized by comprising: The information acquisition module is used for acquiring access link transmission information and return link transmission information of the macro base station, the unmanned aerial vehicle base station and the user side when carrying out wireless information return operation, and flight position information of the unmanned aerial vehicle base station; the problem splitting module is used for splitting the unmanned aerial vehicle base station resource allocation problem into an association relation optimization problem corresponding to a user level and a transmission resource optimization problem corresponding to a resource level based on the access link transmission information, the return link transmission information and the flight position information, wherein the association relation optimization problem is an optimization problem aiming at a network association relation established between the user side and a target base station and used for carrying out wireless information return operation; The game model creation module is used for respectively modeling the receiving rate of the user side and the transmission resources of the target base station to obtain a first game model corresponding to the association relation optimization problem and a second game model corresponding to the transmission resource optimization problem; And the allocation strategy determining module is used for determining target personal utility and target resource feedback utility which are respectively corresponding to the first game model and the second game model in a game equilibrium state, and determining a target resource allocation strategy of the unmanned aerial vehicle base station for carrying out the wireless information feedback operation based on the target personal utility and the target resource feedback utility.
9. An electronic device, comprising: A memory for storing a computer program; A processor for executing the computer program to implement the hierarchical game based drone base station resource allocation method of any one of claims 1 to 7.
10. A computer readable storage medium for storing a computer program which when executed by a processor implements the hierarchical game based drone base station resource allocation method of any one of claims 1 to 7.

Description

Unmanned aerial vehicle base station resource allocation method, device, equipment and storage medium based on layered game Technical Field The present invention relates to the field of data communications technologies, and in particular, to a method, an apparatus, a device, and a storage medium for allocating resources of an unmanned aerial vehicle base station based on layered game. Background In conducting network communications between a user side and a drone base station, existing studies often model the association between an end user and a drone base station as completely rational and static, i.e. to reach a network steady state immediately instead of a dynamic derivation, which deviates from reality. In practical implementations of wireless backhaul, both end users and drone base stations have time-varying decisions. Therefore, the static model cannot accurately capture the resulting dynamics. Therefore, how to better analyze the user association state to realize the optimal allocation of unmanned aerial vehicle base station resources is needed to be solved when the association modeling between the end user and the building station is performed. Disclosure of Invention In view of the above, the present invention aims to provide a method, an apparatus, a device, and a storage medium for allocating resources of an unmanned aerial vehicle base station based on layered game, which can accurately analyze a user association state and realize optimal allocation of resources of the unmanned aerial vehicle base station. The specific scheme is as follows: in a first aspect, the application discloses a method for allocating resources of an unmanned aerial vehicle base station based on layered game, which comprises the following steps: Acquiring access link transmission information and return link transmission information of a macro base station, an unmanned aerial vehicle base station and a user side when carrying out wireless information return operation, and flight position information of the unmanned aerial vehicle base station; splitting the unmanned aerial vehicle base station resource allocation problem into an association relation optimization problem corresponding to a user level and a transmission resource optimization problem corresponding to a resource level based on the access link transmission information, the return link transmission information and the flight position information, wherein the association relation optimization problem is an optimization problem aiming at a network association relation established between the user side and a target base station and used for carrying out wireless information return operation; Modeling the receiving rate of the user side and the transmission resource of the target base station respectively to obtain a first game model corresponding to the association relation optimization problem and a second game model corresponding to the transmission resource optimization problem; and determining target personal utility and target resource feedback utility respectively corresponding to the first game model and the second game model in a game equilibrium state, and determining a target resource allocation strategy of the unmanned aerial vehicle base station for carrying out the wireless information feedback operation based on the target personal utility and the target resource feedback utility. Optionally, the obtaining access link transmission information and backhaul link transmission information of the macro base station, the unmanned aerial vehicle base station and the user terminal when performing wireless information backhaul operation, and flight position information of the unmanned aerial vehicle base station includes: Establishing a network association relation between a user terminal and a macro base station as well as between an unmanned aerial vehicle base station based on a user auction mode, and establishing network connection among the macro base station, the unmanned aerial vehicle base station and the user terminal based on the network association relation so as to carry out wireless information feedback operation; determining flight position information of the unmanned aerial vehicle base station based on the horizontal deployment position and the vertical deployment position of the unmanned aerial vehicle base station and corresponding flight periods; Determining a first access link transmission rate corresponding to the unmanned aerial vehicle base station according to the first transmission power, the noise power spectrum density of the unmanned aerial vehicle base station and a first channel gain set of a user side with a network association relation with the unmanned aerial vehicle base station; Determining a second access link transmission rate corresponding to the macro base station according to a second transmission power of the macro base station, noise power spectrum density and a second channel gain set of a user end with a network ass