Coalitional Game Theory-Based Resource Allocation Strategy for Robust IRS-VLC System

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...

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Bibliographic Details
Published inPhotonics Vol. 11; no. 6; p. 582
Main Authors Liu, Changling, Wang, Jianping, Feng, Lifang, Lu, Huimin, Sun, Haijian, Hu, Rose Qingyang
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.06.2024
Subjects
Algorithms
Arrays
blockage mitigation
Communication
Communications networks
Convex analysis
Energy consumption
Energy efficiency
Game theory
intelligent reflecting surfaces (IRSs)
Mean square errors
Optimization
Reconfigurable intelligent surfaces
Resource allocation
Robustness
Signal quality
Strategy
visible light communication (VLC)
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Summary: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.
ISSN:2304-6732
2304-6732
DOI:10.3390/photonics11060582