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.
Authors
- Ying Huang (ORCID: https://orcid.org/0000-0003-2756-9726)
- Gengqiang Huang (ORCID: https://orcid.org/0009-0001-6937-1358)
- Haibin Wan (ORCID: https://orcid.org/0009-0003-3900-1967)
- Hailu Wan
Institutions
- Guangxi University (CN)
- Guangxi Agricultural Machinery Research Institute (CN)
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
- Field-Weighted Citation Impact
- 0.00