Achievable Rate Optimization of RIS-Assisted Multi-Antenna FD DF Relay Cooperation System With SWIPT Technology

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2025-03-03 DOI:10.1109/TNSE.2025.3546759

Shunwai Zhang;Qingzhu Ma;Hao Cheng;Rongfang Song

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引用次数: 0

Abstract

To pursue higher achievable rate and wider coverage transmission in wireless communications, this paper proposes a novel reconfigurable intelligent surfaces (RIS)-assisted multi-antenna full-duplex (FD) decode-and-forward (DF) relay cooperation system with simultaneous wireless information and power transfer (SWIPT) technology, which can fully enjoy the advantages of both RIS and SWIPT-based FD DF relay with multiple antennas. In order to maximize the achievable rate of the proposed system, the phase shifts of RIS, the precoding vector and the power splitting factor are jointly optimized. At first, optimal phase shifts of RIS are achieved via aligning the phases of received signals at the destination. Subsequently, the alternating optimization (AO)-based algorithm is adopted to decompose the original optimization problem into two sub-problems, i.e., the precoding vector optimization and the power splitting factor optimization. The sub-problems are still complicated and nonconvex, and the successive convex approximation (SCA) method is applied to reformulate them into convex problems which can be further solved by iterative method. Simulation results illustrate the advantages of the proposed system and reveal the effects of various factors on its performance. Simulation results also demonstrate the superiorities of the joint optimization algorithm compared with its counterparts.

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基于SWIPT技术的ris辅助多天线FD - DF中继协同系统可实现速率优化

为了在无线通信中追求更高的可实现速率和更广的覆盖范围传输，本文提出了一种新型的可重构智能表面（RIS）辅助多天线全双工（FD）解码转发（DF）中继协同系统，该系统结合同步无线信息与功率传输（SWIPT）技术，充分发挥RIS和SWIPT的多天线FD DF中继的优势。为了使系统的可实现速率最大化，对RIS的相移、预编码矢量和功率分裂因子进行了联合优化。首先，通过对准目标接收信号的相位来实现RIS的最优相移。随后，采用交替优化（AO）算法将原优化问题分解为预编码向量优化和功率分裂因子优化两个子问题。子问题仍然是复杂的非凸问题，采用逐次凸逼近（SCA）方法将其重新表述为可通过迭代法进一步求解的凸问题。仿真结果说明了所提系统的优点，揭示了各种因素对其性能的影响。仿真结果也证明了联合优化算法与同类算法相比的优越性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.