Authors

Sunmola Mary

Faculty of Engineering, Electrical and Electronic Engineering Department, Ekiti State University, Ado-Ekiti, Nigeria

Olayemi Julianah

Faculty of Engineering, Electrical and Electronic Engineering Department, Ekiti State University, Ado-Ekiti, Nigeria

Idowu Shaibu

Faculty of Engineering, Electrical and Electronic Engineering Department, Ekiti State University, Ado-Ekiti, Nigeria

Oyishe Virginia Vivin

Faculty of Engineering, Electrical and Electronic Engineering Department, Ekiti State University, Ado-Ekiti, Nigeria

Abstract

The aim of this research is to enhance signal processing methods for large-scale multiple-input, multiple-output (MIMO) antenna systems, targeting quick and low-interference transmission in seventh-generation wireless communication networks. In our modern world, it also encounters challenges like increased computational complexity and inter-user interference. This paper presents innovative approaches such as linear precoding, minimum mean square error (MMSE) detection, and interference alignment to mitigate interference. Additionally, we explore the application of machine learning for adaptive beamforming and channel estimation, especially in fluctuating environments. The effectiveness of these algorithms is evaluated through simulations and theoretical comparisons, focusing on their spectral efficiency, energy consumption, and bit error rate (BER). Results reveal that implementing these advanced signal processing techniques can significantly reduce interference and boost system performance, particularly in highly populated urban settings anticipated in the evolution of 5G and beyond. This research holds promise for developing more efficient massive MIMO systems, paving the way for future networks to satisfy the increasing demand for improved communication capabilities.

Keywords

MIMO antenna Systems Signal Processing BER Bit error rate Signal systems Wireless Communication Interference Mitigation

Citation of this Article

Sunmola Mary, Olayemi Julianah, Idowu Shaibu, & Oyishe Virginia Vivin. (2024). MMSE Detection and Interference Mitigation in MIMO Antenna Systems in Wireless Communication. Current Journal of Engineering and Science Research. 1(2), 1-9. Article DOI: https://doi.org/10.47001/CJESR/2024.102001

Licence Copyright (c) 2026 Current Journal of Engineering and Science Research. This work is licensed under a Creative Commons Attribution Non Commercial 4.0 International Licence.

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