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
谢家豪 1吕斌 1周超 1郭海燕 2田峰2
作者信息
- 1. 南京邮电大学江苏省通信与网络技术工程研究中心,江苏南京 210003
- 2. 南京邮电大学通信与信息工程学院,江苏南京 210003
- 折叠
摘要
为了解决语义通信系统中用户的能量受限问题,构建了一种基于非线性能量收集模型的无线供电语义通信网络(WPSCN).在所提出的WPSCN中,混合接入点(HAP)首先向所有用户同时发送射频信号以实现远程能量供应,然后用户利用收集的能量以时分多址方式向HAP传输语义信息.基于此,进一步研究了所有用户的有效语义信息量之和的最大化问题.该问题是关于用户处发射功率、HAP处发射波束赋形向量和时隙分配的联合优化问题.该问题由于包含隐性目标函数,很难直接求解.为此,首先利用广义函数近似获得语义相似度的显性函数表达式,然后设计了基于连续凸近似(SCA)和半正定松弛(SDR)的交替优化算法来求解非凸优化问题.仿真结果表明,相较于参考方案,所提出的方案可以显著提高系统的有效语义信息量.
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引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据