Optimal Power Allocation Based on Metaheuristic Algorithms in Wireless Network

Qiushi Sun (), Haitao Wu and Ovanes Petrosian
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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

Mathematics, 2022, vol. 10, issue 18, 1-14

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.

Keywords: power allocation; interference optimization; metaheuristic; MIMO; interference management (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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