通信学报2025，Vol.46Issue(11)：183-196,14.DOI:10.11959/j.issn.1000-436x.2025200
面向能效最大化的自供电RIS辅助SWIPT物联网资源分配方法
Resource allocation method for energy efficiency maximization in SWIPT IoT systems assisted by self-sustainable RIS
摘要
Abstract
To address the challenges of high energy consumption and poor sustainability in reconfigurable intelligent sur-faces(RIS)-assisted Internet of things(IoT)systems relying on external power supply,a self-sustainable RIS-assisted si-multaneous wireless information and power transfer(SWIPT)IoT system was investigated and designed.Firstly,a dy-namic hybrid-mode RIS architecture was proposed,in which each RIS element could flexibly switch between energy har-vesting and signal reflection modes to achieve self-sustainability.A joint multi-resource optimization problem was then formulated with the objective of maximizing the system's energy efficiency,subject to multiple constraints,including the transmit power at the base station,the minimum energy harvesting requirements and quality-of-service of IoT de-vices,and the energy causality of RIS.The transmit beamforming,power splitting factors of IoT devices,and the operat-ing modes and phase shifts of RIS elements were jointly optimized.Finally,to tackle the highly coupled non-convex mixed-integer optimization,an efficient iterative algorithm was developed by integrating fractional programming,pen-alty function methods,successive convex approximation,and semidefinite relaxation,which can achieve high-quality suboptimal solutions.Simulation results show that the proposed scheme consistently yields significant improvements in energy efficiency over baselines under various system settings,with an average gain of 5.7%in typical scenarios.关键词
智能超表面/无线携能通信/物联网系统/能效优化/资源分配Key words
RIS/SWIPT/IoT system/energy efficiency optimization/resource allocation分类
信息技术与安全科学引用本文复制引用
孙巍,邓鑫茂,郭鹏星,宋清洋,郭磊..面向能效最大化的自供电RIS辅助SWIPT物联网资源分配方法[J].通信学报,2025,46(11):183-196,14.基金项目
国家自然科学基金资助项目(No.62501099) （No.62501099）
中国博士后科学基金资助项目(No.2024MD764070) （No.2024MD764070）
重庆市自然科学基金资助项目(No.CSTB2024NSCQ-MSX1092)The National Natural Science Foundation of China(No.62501099),China Postdoctoral Science Foundation Funded Project(No.2024MD764070),The Natural Science Foundation of Chongqing(No.CSTB2024NSCQ-MSX1092) （No.CSTB2024NSCQ-MSX1092）
