无线电通信技术2024，Vol.50Issue(2)：366-372,7.DOI:10.3969/j.issn.1003-3114.2024.02.018
智能反射面增强的多无人机辅助语义通信资源优化
Optimization of Resource Allocation for Intelligent Reflecting Surface-enhanced Multi-UAV Assisted Semantic Communication
摘要
Abstract
Unmanned Aerial Vehicles(UAV)present a cost-effective solution for wireless communication systems.This article introduces a novel Intelligent Reflecting Surface(IRS)to augment the semantic communication system among multiple UAVs.The system encompasses UAV equipped with IRS,Mobile Edge Computing(MEC)servers,and UAV featuring data collection and local semantic feature extraction functions.Optimizing signal reflection through IRS significantly enhances communication quality between drones and MEC servers.The formulated problem entails joint optimization of multiple drone trajectories,IRS reflection coefficients,and the number of semantic symbols to minimize transmission delays.To address this non-convex optimization problem,this paper introduces a Deep Reinforcement Learning(DRL)algorithm.Specifically,the Dueling Double Deep Q Network(D3QN)is employed to address discrete action space problems such as drone trajectory and semantic symbol quantity optimization.Additionally,Deep Deterministic Policy Gra-dient(DDPG)algorithm is utilized to solve continuous action space problems,such as IRS reflection coefficient optimization,enabling efficient decision-making.Simulation results demonstrate that the proposed intelligent optimization scheme outperforms various bench-mark schemes,particularly in scenarios with low transmission power.Furthermore,the intelligent optimization scheme proposed in this paper exhibits robust stability in response to power changes.关键词
无人机网络/智能反射面/语义通信/资源分配Key words
UAV network/IRS/semantic communication/resource allocation分类
信息技术与安全科学引用本文复制引用
王浩博,吴伟,周福辉,胡冰,田峰..智能反射面增强的多无人机辅助语义通信资源优化[J].无线电通信技术,2024,50(2):366-372,7.基金项目
国家重点研发计划(2020YFB1807602) （2020YFB1807602）
国家自然科学基金(62271267) （62271267）
广东省促进经济发展专项资金(粤自然资合[2023]24 号) （粤自然资合[2023]24 号）
国家自然科学基金(青年项目)(62302237) National K&D Program of China(2020YFB1807602) （青年项目）
National Natural Science Foundation of China(62271267) （62271267）
Key Program of Marine Economy Development Special Foundation of Department of Natural Resources of Guangdong Province(GDNRC[2023]24) （GDNRC[2023]24）
National Natural Sci-ence Foundation of China(Young Scientists Fund)(62302237) （Young Scientists Fund）
