Coalitional Game Theory-Based Resource Allocation Strategy for Robust IRS-VLC System
Open Access
Abstract
This study investigates the optimization of energy efficiency in robust visible light communication (VLC)—intelligent reflecting surface (IRS) systems through a novel resource allocation strategy based on coalitional game theory. By employing coalitional game theory, the proposed strategy optimizes LED power and IRS energy consumption within practical constraints. IRS elements form coalitions centered around a central unit or units, enhancing the system performance through coordinated element management. Simulation results demonstrate significant improvements in energy efficiency and signal quality compared to conventional methods, validating the effectiveness of the proposed strategy.Keywords
Funding Information
- Interdisciplinary Research Project for Young Teachers of USTB (Fundamental Research Funds for the Central Universities) (FRF-IDRY-21-019)
This publication has 23 references indexed in Scilit:
- An Overview of Signal Processing Techniques for RIS/IRS-Aided Wireless SystemsIEEE Journal of Selected Topics in Signal Processing, 2022
- A metasurface-based light-to-microwave transmitter for hybrid wireless communicationsLight: Science & Applications, 2022
- Intelligent Reflecting Surface-Aided Indoor Visible Light Communication SystemsIEEE Communications Letters, 2021
- Energy Efficiency Maximization for IRS-Aided WPCNsIEEE Wireless Communications Letters, 2021
- Toward the Use of Re-configurable Intelligent Surfaces in VLC Systems: Beam SteeringIEEE Wireless Communications, 2021
- Wireless Power Transfer Empowered by Reconfigurable Intelligent SurfacesIEEE Systems Journal, 2020
- Intelligent Reflecting Surface Versus Decode-and-Forward: How Large Surfaces are Needed to Beat Relaying?IEEE Wireless Communications Letters, 2019
- A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research ProblemsIEEE Network, 2019
- Optical Metasurfaces: Evolving from Passive to AdaptiveAdvanced Optical Materials, 2019
- Tight Bounds on Channel Capacity for Dimmable Visible Light CommunicationsJournal of Lightwave Technology, 2013