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同时发射与反射的可重构智能表面赋能的用户中继协作速率分割

Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surfaces Empowered Cooperative Rate Splitting with User Relaying.

作者信息

Zhao Kangchun, Mao Yijie, Shi Yuanming

机构信息

School of Information Science and Technology, Shanghai Tech University, Shanghai 201210, China.

出版信息

Entropy (Basel). 2024 Nov 26;26(12):1019. doi: 10.3390/e26121019.

DOI:10.3390/e26121019
PMID:39766648
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11727108/
Abstract

In this work, we unveil the advantages of synergizing cooperative rate splitting (CRS) with user relaying and simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR RIS). Specifically, we propose a novel STAR RIS-assisted CRS transmission framework, featuring six unique transmission modes that leverage various combinations of the relaying protocols (including full duplex-FD and half duplex-HD) and the STAR RIS configuration protocols (including energy splitting-ES, mode switching-MS, and time splitting-TS). With the objective of maximizing the minimum user rate, we then propose a unified successive convex approximation (SCA)-based alternative optimization (AO) algorithm to jointly optimize the transmit active beamforming, common rate allocation, STAR RIS passive beamforming, as well as time allocation (for HD or TS protocols) subject to the transmit power constraint at the base station (BS) and the law of energy conservation at the STAR RIS. To alleviate the computational burden, we further propose a low-complexity algorithm that incorporates a closed-form passive beamforming design. Numerical results show that our proposed framework significantly enhances user fairness compared with conventional CRS schemes without STAR RIS or other STAR RIS-empowered multiple access schemes. Moreover, the proposed low-complexity algorithm dramatically reduces the computational complexity while achieving very close performance to the AO method.

摘要

在这项工作中,我们揭示了将协作速率分割(CRS)与用户中继以及同时发送和反射的可重构智能表面(STAR RIS)相结合的优势。具体而言,我们提出了一种新颖的基于STAR RIS的CRS传输框架,其具有六种独特的传输模式,这些模式利用了中继协议(包括全双工-FD和半双工-HD)和STAR RIS配置协议(包括能量分割-ES、模式切换-MS和时间分割-TS)的各种组合。以最大化最小用户速率为目标,我们随后提出了一种基于统一逐次凸逼近(SCA)的交替优化(AO)算法,以在基站(BS)的发射功率约束和STAR RIS的能量守恒定律下,联合优化发射有源波束成形、公共速率分配、STAR RIS无源波束成形以及时间分配(用于HD或TS协议)。为了减轻计算负担,我们进一步提出了一种低复杂度算法,该算法结合了闭式无源波束成形设计。数值结果表明,与没有STAR RIS的传统CRS方案或其他由STAR RIS赋能的多址接入方案相比,我们提出的框架显著提高了用户公平性。此外,所提出的低复杂度算法在实现与AO方法非常接近的性能的同时,极大地降低了计算复杂度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/3477e4997204/entropy-26-01019-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/c59c129c6b81/entropy-26-01019-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/27386c5f6708/entropy-26-01019-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/fdf700bed661/entropy-26-01019-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/9531d4786fb5/entropy-26-01019-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/2edb21c9da74/entropy-26-01019-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/19a341a34f5e/entropy-26-01019-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/3477e4997204/entropy-26-01019-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/c59c129c6b81/entropy-26-01019-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/27386c5f6708/entropy-26-01019-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/fdf700bed661/entropy-26-01019-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/9531d4786fb5/entropy-26-01019-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/2edb21c9da74/entropy-26-01019-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/19a341a34f5e/entropy-26-01019-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b25c/11727108/3477e4997204/entropy-26-01019-g007.jpg

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