Comparative Analysis of 8×8, 16×16, and 64×64 Massive MIMO Performance in Urban and Rural 5G Networks Using Rayleigh and Rician Channel Models
Abdulmumini Zubairu Loko, Abubakar Hassan, Samson Dauda Yusuf
Asian Journal of Research and Reviews in Physics · pp. 26–38 · Published 26 May 2026
10.9734/ajr2p/2026/v10i2222Abstract
This study investigates how different propagation environments influence the performance of Massive Multiple-Input Multiple-Output (MIMO) systems within a fifth-generation (5G) wireless communication framework using MATLAB-based simulation analysis. While many previous studies concentrated mainly on antenna scaling, limited attention has been given to the comparative influence of urban and rural propagation conditions under identical system configurations. To address this limitation, the present work evaluates the combined effect of antenna scaling and channel environment on communication performance using 8×8, 16×16, and 64×64 Massive MIMO antenna configurations. Urban communication conditions were modeled using Rayleigh fading channels to represent severe multipath and Non-Line-of-Sight (NLOS) propagation, whereas rural environments were represented using Rician fading channels characterized by stronger Line-of-Sight (LOS) signal components. Random binary data streams were generated and transmitted using Quadrature Amplitude Modulation (QAM) techniques through the configured MIMO channels with Additive White Gaussian Noise (AWGN) applied across varying Signal-to-Noise Ratio (SNR) levels. System performance was evaluated using Bit Error Rate (BER), Signal-to-Noise Ratio (SNR), and spectral efficiency. The simulation results revealed that increasing antenna configuration significantly improves communication reliability and signal quality across both propagation environments. BER values reduced progressively as antenna size increased from 8×8 to 64×64, while SNR and spectral efficiency improved correspondingly. The rural propagation environment consistently achieved lower BER and higher signal quality than the urban environment because of the stronger LOS signal component and reduced multipath interference. In contrast, urban environments experienced greater signal degradation due to severe scattering and fading effects, although larger antenna arrays substantially improved system stability under these conditions. The findings demonstrate that both antenna scaling and propagation environment strongly influence Massive MIMO performance in 5G communication systems. The study therefore provides additional insight into the design of environment-aware wireless deployment strategies capable of improving communication reliability and bandwidth utilization in heterogeneous propagation regions such as Nigeria.
Cited by 0
No indexed citations yet.
Related research
- Effect of Slice Thickness Variation on Spatial Resolution of CT-Scan Device Images at the Bali Mandara Hospital Radiology Installation — shares topic coverage
- Analysis of TE Variations on SNR and CNR Values in Lumbar MRI T2WI Sequences at Bali Mandara Regional General Hospital — shares topic coverage
- Effect of Variation Number of Excitation (NEX) Parameter on the Quality Image of Magnetic Resonance Imaging Genu on T2 Weighted Image Sequence at Bali Mandara Regional General Hospital, Indonesia — shares topic coverage
- Improving FSO Link Performance using PolSK Modulation — shares topic coverage
- A Comprehensive Analysis of M-ary PSK and M-ary QAM Schemes — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.