南京邮电大学学报（自然科学版）2024，Vol.44Issue(6)：35-43,9.DOI:10.14132/j.cnki.1673-5439.2024.06.004
无线供电语义通信网络资源优化方案研究
A resource optimization scheme for wireless powered semantic communication networks
摘要
Abstract
In order to address the energy supply limitation of users in semantic communication systems,a wireless powered semantic communication network(WPSCN)based on a nonlinear energy harvesting model is proposed.In the proposed WPSCN,a hybrid access point(HAP)transmits radio frequency signals to all users simultaneously to realize remote energy supply,and then the users use the harvested energy to transmit semantic information to the HAP via time-division-multiple-access.Under this setup,the problem of maximizing the sum of the effective semantic information of all users is investigated.It is a joint optimization problem covering the transmit power at the users,the transmit beamforming vector at the HAP,and time allocation.As the formulated problem contains an implicit objective function,it is difficult to solve directly.To address this challenge,an explicit function of semantic similarity is obtained by using the generalized function approximation.Then,an alternating optimization algorithm based on the successive convex approximation(SCA)and semi-definite relaxation(SDR)is designed to deal with the non-convexity.Simulation results verify that the proposed scheme can significantly improve the sum of effective semantic information compared to the benchmark schemes.关键词
语义通信/无线供电语义通信网络/语义相似度/联合优化Key words
semantic communication/wireless powered semantic communication network(WPSCN)/semantic similarity/joint optimization分类
信息技术与安全科学引用本文复制引用
谢家豪,吕斌,周超,郭海燕,田峰..无线供电语义通信网络资源优化方案研究[J].南京邮电大学学报（自然科学版）,2024,44(6):35-43,9.基金项目
国家自然科学基金(61901229)和广东省促进经济发展专项资金粤自然资合[2023]24号(SDGC2234)资助项目 （61901229）
