Beyond Diagonal RIS: Passive Maximum Ratio Transmission and Interference Nulling Enabler

IF 6.3 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Open Journal of the Communications Society Pub Date : 2024-11-29 DOI:10.1109/OJCOMS.2024.3509220

Hamad Yahya;Hongyu Li;Matteo Nerini;Bruno Clerckx;Mérouane Debbah

{"title":"Beyond Diagonal RIS: Passive Maximum Ratio Transmission and Interference Nulling Enabler","authors":"Hamad Yahya;Hongyu Li;Matteo Nerini;Bruno Clerckx;Mérouane Debbah","doi":"10.1109/OJCOMS.2024.3509220","DOIUrl":null,"url":null,"abstract":"beyond diagonal reconfigurable intelligent surfaces (BD-RIS) generalizes and goes beyond conventional diagonal reconfigurable intelligent surfaces (D-RIS) by interconnecting elements to generate beyond diagonal scattering matrices, which significantly strengthen the wireless channels. In this work, we use BD-RIS for passive multiuser beamforming in multiuser multiple-input-single-output (MU-MISO) systems. Specifically, we design the scattering matrix of BD-RIS to either maximize the sum received signal power at the users following maximum ratio transmission (MRT), or to nullify the interference at the users following zero forcing (ZF). To control the BD-RIS circuit topology complexity, we present the scattering matrix designs for the single/group/fully-connected BD-RIS architectures. Furthermore, we investigate uniform/optimized power allocation and ZF precoding at the base station (BS). Numerical results show that BD-RIS improves the interference nulling capability and sum rate with fewer reflecting elements (REs) compared to D-RIS. In addition, at moderate to high signal to noise ratios (SNRs), passive interference nulling reduces the complexity at the BS by relaxing the need for precoding or water-filling power allocation design. Furthermore, the passive MRT with ZF precoding achieves a tight sum rate performance to the joint design considering MU-MISO scenarios with many REs while maintaining low computational complexity and simplifying the channel estimation.","PeriodicalId":33803,"journal":{"name":"IEEE Open Journal of the Communications Society","volume":"5 ","pages":"7613-7627"},"PeriodicalIF":6.3000,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10771739","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Journal of the Communications Society","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10771739/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}

引用次数: 0

Abstract

beyond diagonal reconfigurable intelligent surfaces (BD-RIS) generalizes and goes beyond conventional diagonal reconfigurable intelligent surfaces (D-RIS) by interconnecting elements to generate beyond diagonal scattering matrices, which significantly strengthen the wireless channels. In this work, we use BD-RIS for passive multiuser beamforming in multiuser multiple-input-single-output (MU-MISO) systems. Specifically, we design the scattering matrix of BD-RIS to either maximize the sum received signal power at the users following maximum ratio transmission (MRT), or to nullify the interference at the users following zero forcing (ZF). To control the BD-RIS circuit topology complexity, we present the scattering matrix designs for the single/group/fully-connected BD-RIS architectures. Furthermore, we investigate uniform/optimized power allocation and ZF precoding at the base station (BS). Numerical results show that BD-RIS improves the interference nulling capability and sum rate with fewer reflecting elements (REs) compared to D-RIS. In addition, at moderate to high signal to noise ratios (SNRs), passive interference nulling reduces the complexity at the BS by relaxing the need for precoding or water-filling power allocation design. Furthermore, the passive MRT with ZF precoding achieves a tight sum rate performance to the joint design considering MU-MISO scenarios with many REs while maintaining low computational complexity and simplifying the channel estimation.

查看原文本刊更多论文

超越对角线RIS：无源最大比传输和干扰消除使能器

超对角线可重构智能曲面（BD-RIS）是对传统对角线可重构智能曲面（D-RIS）的推广和超越，它通过将元素互连生成超对角线散射矩阵，显著增强了无线信道。在这项工作中，我们在多用户多输入单输出（MU-MISO）系统中使用BD-RIS进行无源多用户波束形成。具体来说，我们设计了BD-RIS的散射矩阵，以最大化最大比传输（MRT）用户处的接收信号功率总和，或者消除零强迫（ZF）用户处的干扰。为了控制BD-RIS电路的拓扑复杂度，我们提出了单/组/全连接BD-RIS结构的散射矩阵设计。此外，我们还研究了基站（BS）的均匀/优化功率分配和ZF预编码。数值结果表明，与D-RIS相比，BD-RIS以较少的反射元（REs）提高了抗干扰能力和和速率。此外，在中等到高信噪比（SNRs）下，无源干扰消零通过减少预编码或注水功率分配设计的需要，降低了BS的复杂性。此外，采用ZF预编码的无源MRT在保持较低的计算复杂度和简化信道估计的同时，对考虑多REs MU-MISO场景的联合设计实现了严格的和速率性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

IEEE Open Journal of the Communications Society Multiple-

CiteScore

13.70

自引率

3.80%

发文量

审稿时长

10 weeks

期刊介绍： The IEEE Open Journal of the Communications Society (OJ-COMS) is an open access, all-electronic journal that publishes original high-quality manuscripts on advances in the state of the art of telecommunications systems and networks. The papers in IEEE OJ-COMS are included in Scopus. Submissions reporting new theoretical findings (including novel methods, concepts, and studies) and practical contributions (including experiments and development of prototypes) are welcome. Additionally, survey and tutorial articles are considered. The IEEE OJCOMS received its debut impact factor of 7.9 according to the Journal Citation Reports (JCR) 2023. The IEEE Open Journal of the Communications Society covers science, technology, applications and standards for information organization, collection and transfer using electronic, optical and wireless channels and networks. Some specific areas covered include: Systems and network architecture, control and management Protocols, software, and middleware Quality of service, reliability, and security Modulation, detection, coding, and signaling Switching and routing Mobile and portable communications Terminals and other end-user devices Networks for content distribution and distributed computing Communications-based distributed resources control.