电子科技大学学报2026，Vol.28Issue(4)：496-504,9.DOI:10.12178/1001-0548.2025106
基于SDP的通感及协能无线传输方法
The SDP method based on integrated sensing,communication,and power transmission
摘要
Abstract
The future of 6G wireless communication will transcend the boundaries of traditional communication,advancing toward multimodal functionality integration.Among these advancements,the integration of sensing,communication,and power transfer(ISCPT)introduces significant challenges in multi-objective optimization.Achieving optimal system performance under multidimensional constraints has become a core research focus.This study addresses the problem of optimizing user transmission rates under multiple constraints,including quality of service(QoS),the Cramér-Rao bound(CRB)for sensing accuracy,energy harvesting(EH)thresholds,and maximum transmission power.By leveraging beamforming techniques,this paper proposes an alternating optimization algorithm based on semidefinite relaxation(SDR).The proposed approach transforms the original non-convex problem into a semi-definite programming(SDP)model that can be efficiently solved while strictly satisfying all constraints.Simulation results demonstrate that the method significantly improves system transmission rates in typical scenarios and ensures compliance with base station transmission power,sensing accuracy,and energy supply requirements.This work provides robust theoretical support for efficient resource allocation in future ISCPT-enabled networks.关键词
集成感知、通信与能量传输/半正定松弛/波束赋形/6GKey words
integration of sensing,communication,and power transfer(ISCPT)/semidefinite relaxation(SDR)/beamforming/6G分类
信息技术与安全科学引用本文复制引用
伍岳,谢辰飞,屠青青,修越,陈路,缪麒龙,张忠培..基于SDP的通感及协能无线传输方法[J].电子科技大学学报,2026,28(4):496-504,9.基金项目
中南大学研究生自主探索创新项目(1053320240520). （1053320240520）
