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Optimal Power Allocation Based on Metaheuristic Algorithms in Wireless Network

Author

Listed:
  • Qiushi Sun

    (Faculty of Applied Mathematics and Control Processes, Saint Petersburg State University, 198504 Saint Petersburg, Russia)

  • Haitao Wu

    (Faculty of Applied Mathematics and Control Processes, Saint Petersburg State University, 198504 Saint Petersburg, Russia)

  • Ovanes Petrosian

    (Faculty of Applied Mathematics and Control Processes, Saint Petersburg State University, 198504 Saint Petersburg, Russia)

Abstract

An optimal power allocation is a fundamental challenge for massive multiple-input–multiple-output (MIMO) systems because the power allocation should be acclimated to time-varying channels and heavy traffic conditions throughout the communication network. Although massive model-driven algorithms have been employed to solve this issue, most of them require analytically tractable mathematical models and have a high computational complexity. This paper considers the metaheuristic algorithms for the power allocation issue. A series of state-of-the-art stochastic algorithms are compared with the benchmark algorithm on network scales. The simulation results demonstrate the superiority of the proposed algorithms against the conventional benchmark algorithms.

Suggested Citation

  • Qiushi Sun & Haitao Wu & Ovanes Petrosian, 2022. "Optimal Power Allocation Based on Metaheuristic Algorithms in Wireless Network," Mathematics, MDPI, vol. 10(18), pages 1-14, September.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:18:p:3336-:d:915003
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    Cited by:

    1. Hao Li & Jiawei Cao & Guangkun Luo & Zhigang Wang & Houjun Wang, 2023. "A Novel Performance Bound for Massive MIMO Enabled HetNets," Mathematics, MDPI, vol. 11(13), pages 1-11, June.

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