Optimizing Spectral and Energy Efficiency of Massive MIMO Networks Using MVO and API Algorithms release_m4a4ratcsjd7bis63bme3v6mbq

Abstract

Wireless communication, especially that relying on 5G technology, plays a crucial role in modern networks. The use of massive multiple-input, multiple-output (MIMO) systems is one of the key advancements in this area, as it improves energy efficiency (EE) and spectral efficiency (SE), making such a technique critical for future communication networks. This article focuses on optimizing EE and SE using a new metaheuristic multiverse optimization algorithm (MVO), and compares the results obtained with those achieved with the use of the Pachycondyla Apicalis algorithm (API) and other methods. Furthermore, the study explores the best values for factors such as coherence time, power amplifier efficiency, and hardware power in each user, with all of them playing a critical role in maximizing EE. The authors also examine the correlation between EE and SE in the downlink direction. The results show that the MVO approach achieves better performance in fewer iterations compared to API and other methods, demonstrating its potential for improving wireless communication systems.
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