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
Department of Physics, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, PMB 1022, Nigeria.
Abubakar Hassan
Department of Science Laboratory Technology, School of Sciences, Federal Polytechnic Wannune, Benue State, Nigeria.
Samson Dauda Yusuf *
Department of Physics, Faculty of Natural and Applied Sciences, Nasarawa State University, Keffi, PMB 1022, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
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.
Keywords: 5G, Massive MIMO, Urban Environment, rural environment, Rayleigh fading, Rician fading, BER, SNR