A Low Complexity Optimization Algorithm for Activating Antenna Number for Energy Efficiency in Massive MIMO System

In this paper, a novel algorithm for finding the optimal number of activated antennas is proposed to enhance the energy efficiency of Massive MIMO systems. By transforming the fractional optimization problem into a subtraction problem and adopting a dual-layer iterative approach, the optimal solution to the problem can be quickly obtained. Finally, simulation results demonstrate that the proposed algorithm not only possesses the advantage of low complexity but also can determine the optimal number of activated antennas to maximize the system energy efficiency.

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Published
2024-11-04
DOI
https://doi.org/10.1109/csrswtc64338.2024.10811547
Primary Topic
Advanced MIMO Systems Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A Low Complexity Optimization Algorithm for Activating Antenna Number for Energy Efficiency in Massive MIMO System

Hui-Fen Huang, Ke-Chun Niu
Advanced MIMO Systems Optimization
article

A Low Complexity Optimization Algorithm for Activating Antenna Number for Energy Efficiency in Massive MIMO System

Hui-Fen Huang, Ke-Chun Niu
article en

Abstract

In this paper, a novel algorithm for finding the optimal number of activated antennas is proposed to enhance the energy efficiency of Massive MIMO systems. By transforming the fractional optimization problem into a subtraction problem and adopting a dual-layer iterative approach, the optimal solution to the problem can be quickly obtained. Finally, simulation results demonstrate that the proposed algorithm not only possesses the advantage of low complexity but also can determine the optimal number of activated antennas to maximize the system energy efficiency.

South China University of Technology (CN)
National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 77%
Advanced MIMO Systems Optimization
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