An advanced fractal optimisation method for network energy and power based on cellular massive MIMO based on photovoltaic technology

User communication needs drive the wide application of cell-free massive MIMO systems. Network energy consumption significantly affects communication quality and efficiency. Photovoltaic systems provide real-time electricity, dynamically adjusting MIMO parameters based on output changes to ensure stable operation. This article aims to enhance user experience and optimise energy distribution in communication systems. It constructs a basic system model, defines network signal power optimisation, applies photovoltaic technology for sustainable energy supply, and solves the optimisation problem using PSO. Simulations compare pre- and post-optimisation effects, revealing a 20.24% energy efficiency improvement in photovoltaic-based communication systems with 100 access points. The proposed method enhances communication efficiency and optimises energy distribution in networks.

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Publication Details

Journal
International Journal of Dynamical Systems and Differential Equations
Published
2025-01-01
DOI
https://doi.org/10.1504/ijdsde.2025.146965
Primary Topic
Advanced MIMO Systems Optimization
Type
article
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article

An advanced fractal optimisation method for network energy and power based on cellular massive MIMO based on photovoltaic technology

Ying Huang, Gengqiang Huang, Haibin Wan, Hailu Wan
International Journal of Dynamical Systems and Differential Equations
Advanced MIMO Systems Optimization
article

An advanced fractal optimisation method for network energy and power based on cellular massive MIMO based on photovoltaic technology

Ying Huang, Gengqiang Huang, Haibin Wan, Hailu Wan
article en

Abstract

User communication needs drive the wide application of cell-free massive MIMO systems. Network energy consumption significantly affects communication quality and efficiency. Photovoltaic systems provide real-time electricity, dynamically adjusting MIMO parameters based on output changes to ensure stable operation. This article aims to enhance user experience and optimise energy distribution in communication systems. It constructs a basic system model, defines network signal power optimisation, applies photovoltaic technology for sustainable energy supply, and solves the optimisation problem using PSO. Simulations compare pre- and post-optimisation effects, revealing a 20.24% energy efficiency improvement in photovoltaic-based communication systems with 100 access points. The proposed method enhances communication efficiency and optimises energy distribution in networks.

International Journal of Dynamical Systems and Differential EquationsVol. 14(1/2)
Guangxi University (CN), Guangxi Agricultural Machinery Research Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 87%
Advanced MIMO Systems Optimization
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