有源RIS辅助SWIPT网络公平性资源分配算法  

Network Fairness Resource Allocation Algorithm with Active RIS-Assisted SWIPT

作　　者：李世党 刘利栋 李春国[2] 许魁 LI Shidang;LIU Lidong;LI Chunguo;XU Kui(School of Physics and Electronic Engineering,Jiangsu Normal University,Xuzhou 221116,China;School of Information Science and Engineering,Southeast University,Nanjing 211111,China;College of Communications Engineering,Army Engineering University of PLA,Nanjing 210007,China)

机构地区：[1]江苏师范大学物理与电子工程学院,江苏徐州221116 [2]东南大学信息科学与工程学院,江苏南京211111 [3]陆军工程大学通信工程学院,江苏南京210007

出　　处：《陆军工程大学学报》2024年第3期16-25,共10页Journal of Army Engineering University of PLA

基　　金：国家自然科学基金(62171119);教育部春晖计划国际合作项目(202201406,HZKY20220171);江苏省重点研发计划(BE2021013-3);徐州市重点研发项目(KC20027,KC18079)。

摘　　要：针对有源可重构智能表面(reconfigurable intelligent surface,RIS)辅助的同步无线信息与能量传输(simultaneous wireless information and power transfer,SWIPT)系统,提出了一种考虑公平性的能量资源采集分配算法,以解决因乘性衰落导致的公平性能量采集性能较差的问题。在有源RIS辅助的SWIPT系统采用功率切割架构实现信息与能量的同步传输,构建了以所有用户中最小的采集能量最大化为目标函数,用户信干噪比、有源RIS和基站发射功率、功率划分因子等满足需求为约束条件的联合资源分配问题。利用交替优化、半正定松弛、连续凸近似、罚函数等技术将不能直接解决的非凸问题转换成标准凸问题,提出了一种交替迭代的公平性采集能量算法。数值仿真结果表明,所提优化算法能够显著提高用户中能量资源分配最少的用户处采集到的能量值,保障通信网络中能量资源分配的公平性。This paper addresses a wireless transmission system with simultaneous wireless information and power transfer(SWIPT)assisted by an active reconfigurable intelligent surface(RIS).To tackle the issue of insufficient fairness in energy harvesting performance caused by multiplicative fading,a fairnessaware energy harvesting resource allocation algorithm is proposed.Firstly,a power splitting(PS)architecture is employed to facilitate simultaneous information and energy transmission for active RIS-aided SWIPT networks.The objective function is formulated to maximize the minimum harvested energy among all users,taking fairness into consideration.This leads to a joint resource allocation problem with constraints,including user signal-to-interference-plus-noise ratio,active RIS parameters,base station transmission power,and PS factor.Secondly,employing techniques such as alternating optimization,semi-definite relaxation,continuous convex approximation,and penalty functions,the original non-convex problems that cannot be directly solved are transformed into the standard convex problems.Subsequently,an alternating iterative fairness-aware energy harvesting algorithm is proposed.Finally,numerical simulations validate that the proposed optimization algorithm significantly enhances the energy harvested at the user with the minimum energy resource allocation,ensuring fairness in energy resource allocation within the communication network.

关 键 词：有源可重构智能表面 同步无线信息与能量传输 迭代优化 连续凸近似 

分 类 号：TN92[电子电信—通信与信息系统]