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This paper presents a novel optimization approach for massive Multiple-Input Multiple-Output (MIMO) systems in 5G networks using the Multi-Verse Optimization (MVO) algorithm. Our work focuses on simultaneously optimizing three critical performance metrics in the downlink transmission: average user rate, average area rate, and energy efficiency. Through the implementation of MVO in MATLAB, we optimize key system parameters including the number of base station antennas, the number of served users, and the transmitted power levels. The proposed approach demonstrates significant improvements in all three performance metrics compared to conventional methods. Simulation results validate that our MVO-based optimization strategy effectively balances these competing objectives, achieving enhanced data rates for individual users and improved area throughput while maintaining energy efficiency. These findings contribute to the practical deployment of massive MIMO systems in next-generation wireless networks.

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Multi-verse Optimization for Advanced 5G Massive MIMO Networks

  • 会议论文

  • 发表日期：

    2026年

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  • Hiba Ines Bitat,
  • Fouzia Maamri,
  • Fatima Khelfaoui,
  • Yacine Belhocine,
  • Yacine Messai,
  • Ferie Aouissi

摘要

This paper presents a novel optimization approach for massive Multiple-Input Multiple-Output (MIMO) systems in 5G networks using the Multi-Verse Optimization (MVO) algorithm. Our work focuses on simultaneously optimizing three critical performance metrics in the downlink transmission: average user rate, average area rate, and energy efficiency. Through the implementation of MVO in MATLAB, we optimize key system parameters including the number of base station antennas, the number of served users, and the transmitted power levels. The proposed approach demonstrates significant improvements in all three performance metrics compared to conventional methods. Simulation results validate that our MVO-based optimization strategy effectively balances these competing objectives, achieving enhanced data rates for individual users and improved area throughput while maintaining energy efficiency. These findings contribute to the practical deployment of massive MIMO systems in next-generation wireless networks.