NOMA-MIMO in 5G network: a detailed survey on enhancing data rate.

IF 3.5 4区计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

PeerJ Computer Science Pub Date : 2025-01-31 eCollection Date: 2025-01-01 DOI:10.7717/peerj-cs.2388

Murad Halabouni, Mardeni Roslee, Sufian Mitani, Osama Abuajwa, Anwar Osman, Fatimah Zaharah Binti Ali, Athar Waseem

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Abstract

Non-orthogonal multiple access (NOMA) is a technology that leverages user channel gains, offers higher spectral efficiency, improves user fairness, better cell-edge throughput, increased reliability, and low latency, making it a potential technology for the next generation of cellular networks. The application of NOMA in the power domain (NOMA-PD) with multiple-input multiple-output (MIMO) and other emerging technologies allows to achieve the demand for higher data rates in next-generation networks. This survey aims to funnel down NOMA MIMO resource allocation issues and different optimization problems that exist in the literature to enhance the data rate. We examine the most recent NOMA-MIMO clustering, power allocation, and joint allocation schemes and analyze various parameters used in optimization methods to design 5G systems. We finally identify a promising research problem based on the signal-to-interference-plus-noise ratio (SINR) parameter in the context of NOMA-PD with MIMO configuration.

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来源期刊

PeerJ Computer Science Computer Science-General Computer Science

CiteScore

6.10

自引率

5.30%

发文量

332

审稿时长

10 weeks

期刊介绍： PeerJ Computer Science is the new open access journal covering all subject areas in computer science, with the backing of a prestigious advisory board and more than 300 academic editors.