Original scientific paper
https://doi.org/10.32985/ijeces.16.2.8
Reconfigurable Intelligent Surfaces in 6G mMIMO NOMA Networks: A Comprehensive Analysis
Mohamed Hassan
orcid.org/0000-0001-5396-5058
; Department of Electrical Engineering, Omdurman Islamic University, Omdurman, Sudan
Khaild Hamid
; Department of Electrical Engineering, Omdurman Islamic University, Omdurman, Sudan
Rashid A. Saeed
; Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia
*
Hesham Alhumyani
; Department of Computer Engineering, College of Computers and Information Technology, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia
Abdullah Alenizi
; Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al-Majmaah 11952, Saudi Arabia
* Corresponding author.
Abstract
As the features and characteristics of six-generation (6G) connectivity are defined, advanced technologies such as multiple-input, multiple-output (mMIMO), non-orthogonal multiple access (NOMA), and reconfigurable intelligent surfaces (RISs) are becoming more important for many Internets of Things (IoT) uses. This study comprehensively and uniquely investigates the impact of RIS on the effectiveness of NOMA download (DL) mMIMO systems in the IoT environment within the context of the 6G network. This work aims to analyze the impact of including the RIS in the spectral efficiency (SE) and capacity performance of proposed hybrid system-enabled IoT setting device distributions, such as clustered and hotspot configurations. It highlights the ability of RIS to optimize wireless latency communication and throughput, depending on the mobility and density of IoT devices, respectively. The proposed methodologies are assessed through a simulation software application, under unstable channel conditions with varying distances and power locations while accounting for 256-quadrature amplitude modulation (256-QAM), frequency selective Rayleigh fading, and successive interference cancellation (SIC) context inside the 6G network environment. The results indicate that the four IoT groups (50, 100, 150, and 200) achieved capacity improvements of 5.84%, 5.81, 5.78, and 5.8%, and SE increases of 5.759%, 5.755%, 5.753%, and 5.84%, respectively, when utilizing RIS compared to their performance without it. The implementation of RIS yielded latency rate enhancements of 16.44%, 12.24%, 9.75%, and 8.1% across all four IoT groups, respectively, at a mobility speed of 120 Km/h. Each of the four IoT groups had throughput enhancements of 26%, 25.6%, 25.3%, and 25%, respectively, while using RIS within a coverage area of 400 square meters (sqm).
Keywords
Internet of Things; SE; massive MIMO (mMIMO); NOMA; RIS.;
Hrčak ID:
327833
URI
Publication date:
6.2.2025.
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