CN-122002320-A - Optimization method, device, equipment, storage medium and product

CN122002320ACN 122002320 ACN122002320 ACN 122002320ACN-122002320-A

Abstract

The application provides an optimization method, device, equipment, storage medium and product, wherein the method comprises the steps of constructing a channel model and an energy loss model which correspond to an unmanned aerial vehicle-based auxiliary Internet of vehicles communication system, wherein the channel model is used for representing a channel required by the Internet of vehicles communication system for processing data of a vehicle terminal, the energy loss model is used for representing energy loss required by the Internet of vehicles communication system for processing the data of the vehicle terminal, the target optimization problem meeting preset constraint conditions is constructed by maximizing target performance indexes based on the channel model and the energy loss model, the target performance indexes comprise calculation speed of the vehicle terminal, the preset constraint conditions at least comprise that the speed of the unmanned aerial vehicle meets the preset speed condition and the track of the unmanned aerial vehicle meets the preset track condition, different multiple optimization sub-problems are obtained based on the target optimization problem, and the optimization result of the Internet of vehicles communication system is obtained by alternately and iteratively solving the multiple optimization sub-problems.

Inventors

XU ZHIGUO
XU JUN
JI ZHONGMING
Zhou Kaiye
LI JIALE
ZHAO XINGHUA

Assignees

中移(苏州)软件技术有限公司
中国移动通信集团有限公司

Dates

Publication Date: 20260508
Application Date: 20260123

Claims (10)

1. A method of optimization, the method comprising: constructing a channel model and an energy loss model corresponding to an unmanned aerial vehicle-based auxiliary Internet of vehicles communication system, wherein the channel model is used for representing a channel required by the Internet of vehicles communication system for processing data of a vehicle terminal, and the energy loss model is used for representing energy loss required by the Internet of vehicles communication system for processing the data of the vehicle terminal; Based on the channel model and the energy loss model, maximizing a target performance index as an optimization target, and constructing a target optimization problem meeting a preset constraint condition, wherein the target performance index comprises a calculation rate of a vehicle terminal, and the preset constraint condition at least comprises that the speed of the unmanned aerial vehicle meets a preset speed condition and the track of the unmanned aerial vehicle meets a preset track condition; based on the target optimization problem, obtaining a plurality of different optimization sub-problems; and carrying out alternate iterative solution on the plurality of optimization sub-problems until the plurality of optimization sub-problems converge, so as to obtain an optimization result of the Internet of vehicles communication system.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises, The vehicle networking communication system comprises a vehicle terminal, an unmanned aerial vehicle and access equipment, wherein the unmanned aerial vehicle is provided with an intelligent reflecting surface, and the access equipment is a wireless access point provided with an edge server; The preset constraint condition further comprises that the energy loss required by the data of the vehicle terminal when processed meets a preset energy consumption condition, the transmitting power of the vehicle terminal meets a preset power condition, and the phase matrix of the intelligent reflecting surface meets a preset phase condition.
3. The method of claim 2, wherein constructing a channel model and an energy loss model corresponding to the internet of vehicles communication system comprises: Constructing the channel model based on a first channel between the vehicle terminal and the unmanned aerial vehicle and a second channel between the unmanned aerial vehicle and the wireless access point; And constructing the energy loss model based on the first energy loss of the data calculated locally by the vehicle terminal, the second energy loss of the data unloaded to the wireless access point by the vehicle terminal through the unmanned aerial vehicle and the third energy loss of the unmanned aerial vehicle flight.
4. The method according to claim 2, wherein constructing a target optimization problem satisfying a preset constraint with a target performance index maximization as an optimization target based on the channel model and the energy loss model includes: determining a signal-to-noise ratio of the vehicle terminal based on the channel model, the phase matrix of the intelligent reflecting surface, the transmitting power of the vehicle terminal, the induced power in the hovering state of the unmanned aerial vehicle, and a signal bandwidth; determining an achievable rate of the vehicle terminal based on the signal-to-noise ratio and the signal bandwidth of the vehicle terminal; determining a number of bits of offload data for the vehicle terminal based on an achievable rate of the vehicle terminal; Determining a total processing bit number of the vehicle terminal based on the bit number of the local calculation data of the vehicle terminal and the bit number of the unloading data of the vehicle terminal; And constructing the target optimization problem based on the total processing bit number of the vehicle terminal and the preset constraint condition.
5. The method according to claim 2, wherein the obtaining the optimization result of the internet of vehicles communication system by performing the iterative solution to the plurality of optimization sub-problems alternately until the plurality of optimization sub-problems converge comprises: The optimal parameters comprise optimal movement speed of the unmanned aerial vehicle, optimal movement track of the unmanned aerial vehicle, optimal phase matrix of the intelligent reflecting surface and emission power of a vehicle terminal; and obtaining an optimization result of the Internet of vehicles communication system based on the optimized parameters.
6. The method of claim 2, wherein the plurality of optimization sub-problems includes a first optimization sub-problem for optimizing trajectory and speed of the drone and a second optimization sub-problem for optimizing a phase matrix of the smart reflective surface, the obtaining a different plurality of optimization sub-problems based on the target optimization problem includes: converting the target optimization problem into a first optimization sub-problem based on a first-order taylor expansion algorithm and a relaxation variable; And converting the target optimization problem into a second optimization sub-problem based on a semi-definite relaxation algorithm and a convex function difference planning algorithm.
7. An optimization device, the device comprising: the system comprises a first construction unit, a first communication unit and a second communication unit, wherein the first construction unit is used for constructing a channel model and an energy loss model which correspond to the Internet of vehicles communication system, the channel model is used for representing a channel required by the Internet of vehicles communication system for processing data of a vehicle terminal, and the energy loss model is used for representing energy loss required by the Internet of vehicles communication system for processing the data of the vehicle terminal; The second construction unit is used for constructing a target optimization problem meeting a preset constraint condition by maximizing a target performance index based on the channel model and the energy loss model, wherein the target performance index comprises a calculation rate of a vehicle terminal, and the preset constraint condition at least comprises that the speed of the unmanned aerial vehicle meets a preset speed condition and the track of the unmanned aerial vehicle meets a preset track condition; A first obtaining unit, configured to obtain a plurality of different optimization sub-problems based on the target optimization problem; the second obtaining unit is used for obtaining the optimized target performance index corresponding to the Internet of vehicles communication system by alternately and iteratively solving the plurality of optimization sub-problems until the plurality of optimization sub-problems converge.
8. An electronic device, the electronic device comprising: A memory for storing computer executable instructions or computer programs; a processor for implementing the method according to any one of claims 1 to 6 when executing computer-executable instructions or computer programs stored in the memory.
9. A computer readable storage medium storing a computer program or computer executable instructions which, when executed by a processor, implement the method of any one of claims 1 to 6.
10. A computer program product comprising a computer program or computer-executable instructions which, when executed by a processor, implement the method of any one of claims 1 to 6.

Description

Optimization method, device, equipment, storage medium and product Technical Field The present application relates to the field of communications technologies, and in particular, to an optimization method, apparatus, device, storage medium, and product. Background With the rapid development of communication technology, the internet of vehicles communication system establishes high-efficiency connection between the vehicle terminal and the cloud, vehicles gradually evolve into mobile terminals with intelligent computing capability, and the demands for high-reliability and low-delay communication are increasing. At present, a data transmission mode between a vehicle terminal and cloud mainly comprises the steps that a plurality of vehicle terminals forward data to a wireless Access Point (AP) equipped with an edge cloud server through a relay, then the edge cloud server processes the received data by utilizing strong computing power of the edge cloud server, and then the processed result is sent to the vehicle terminal through the relay. Disclosure of Invention The embodiment of the application provides an optimization method, an optimization device, an optimization storage medium and an optimization product. The technical scheme of the embodiment of the application is realized as follows: the embodiment of the application provides an optimization method, which comprises the following steps: constructing a channel model and an energy loss model corresponding to an unmanned aerial vehicle-based auxiliary Internet of vehicles communication system, wherein the channel model is used for representing a channel required by the Internet of vehicles communication system for processing data of a vehicle terminal, and the energy loss model is used for representing energy loss required by the Internet of vehicles communication system for processing the data of the vehicle terminal; Based on the channel model and the energy loss model, maximizing a target performance index as an optimization target, and constructing a target optimization problem meeting a preset constraint condition, wherein the target performance index comprises a calculation rate of a vehicle terminal, and the preset constraint condition at least comprises that the speed of the unmanned aerial vehicle meets a preset speed condition and the track of the unmanned aerial vehicle meets a preset track condition; based on the target optimization problem, obtaining a plurality of different optimization sub-problems; and carrying out alternate iterative solution on the plurality of optimization sub-problems until the plurality of optimization sub-problems converge, so as to obtain an optimization result of the Internet of vehicles communication system. In some exemplary embodiments, the Internet of vehicles communication system comprises a vehicle terminal, an unmanned aerial vehicle and an access device, wherein the unmanned aerial vehicle is provided with an intelligent reflecting surface, and the access device is a wireless access point provided with an edge server; The preset constraint condition further comprises that the energy loss required by the data of the vehicle terminal when processed meets a preset energy consumption condition, the transmitting power of the vehicle terminal meets a preset power condition, and the phase matrix of the intelligent reflecting surface meets a preset phase condition. In some exemplary embodiments, the constructing a channel model and an energy loss model corresponding to the internet of vehicles communication system includes: Constructing the channel model based on a first channel between the vehicle terminal and the unmanned aerial vehicle and a second channel between the unmanned aerial vehicle and the wireless access point; And constructing the energy loss model based on the first energy loss of the data calculated locally by the vehicle terminal, the second energy loss of the data unloaded to the wireless access point by the vehicle terminal through the unmanned aerial vehicle and the third energy loss of the unmanned aerial vehicle flight. In some exemplary embodiments, the constructing, based on the channel model and the energy loss model, a target optimization problem that meets a preset constraint condition with a target performance index maximized as an optimization target includes: determining a signal-to-noise ratio of the vehicle terminal based on the channel model, the phase matrix of the intelligent reflecting surface, the transmitting power of the vehicle terminal, the induced power in the hovering state of the unmanned aerial vehicle, and a signal bandwidth; determining an achievable rate of the vehicle terminal based on the signal-to-noise ratio and the signal bandwidth of the vehicle terminal; determining a number of bits of offload data for the vehicle terminal based on an achievable rate of the vehicle terminal; Determining a total processing bit number of the vehicle terminal based on the bit numbe