Magic matrix-based discrete phase shifts allocation in RIS-assisted downlink NOMA system

IF 2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-06-11 DOI:10.1016/j.phycom.2025.102725

Sourabh Tiwari , Joydeep Sengupta , Bhumika Neole , Ankita H. Harkare

引用次数: 0

Abstract

This paper presents a novel approach to enhance the performance of downlink Non-Orthogonal Multiple Access (NOMA) systems by leveraging Reconfigurable Intelligent Surfaces (RIS). The proposed approach combines fractal and magic matrix-based Discrete Phase Shifts Allocation (DPSA) techniques. The fractal-controlled magic matrix-based DPSA technique applies a fractal-like phase shift allocation, derived from the magic matrix, to the meta-atoms of the RIS, aiming to improve the system’s capacity. Meanwhile, the method utilizes the inherent properties of a magic matrix for phase shift allocation. The proposed approach holds promise for application in various scenarios, including 5G and beyond wireless networks, and has the potential to enhance the sum rate and overall performance of NOMA systems in diverse wireless network settings.

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基于Magic矩阵的ris辅助下行NOMA系统离散相移分配

本文提出了一种利用可重构智能曲面（RIS）来提高下行链路非正交多址（NOMA）系统性能的新方法。该方法结合了分形和基于幻矩阵的离散相移分配（DPSA）技术。基于分形控制魔法矩阵的DPSA技术将源自魔法矩阵的分形相移分配应用于RIS的元原子，旨在提高系统的容量。同时，该方法利用幻矩阵的固有特性进行相移分配。所提出的方法有望在各种场景中应用，包括5G及其他无线网络，并有可能在各种无线网络环境中提高NOMA系统的总和速率和整体性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.