AI-Driven Resource Optimization in LiFi-Based Wireless Networks
Ibrohimbek YusupovTashkent University of Information Technologies Named After Muhammad Al-Khwarizmi,Tashkent,UzbekistanMurod YokubovThe Republican Center of Forensic Expertise Named After Kh. Sulaymonova,Tashkent,UzbekistanYogita PalLovely Professional University,Department of Electronics and Communication Engineering,Punjab,IndiaPranay VermaAmity University,Noida,IndiaAstha GuptaAmity University Uttar Pradesh,Amity International Business School,Noida,IndiaVinita SharmaAmity University
2025
ABI
Аннотация
The concept of Light Fidelity (LiFi) has become a bright perspective of wireless communication that can be used to indoor network high speed and safely. Nevertheless, one of the biggest challenges is the effective use of the optical resources in dynamic settings. The paper introduces an AI-induced resource optimization mechanism of wireless networks operating under LiFi. The presented solution uses the reinforcement learning strategy to dynamically optimize bandwidth, power, and users association in multi-cell LiFi systems. Simulation outputs show great advancements in throughput, latency and energy consumption as opposed to traditional methods of allocation which are not dynamic.
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Цитирований: 0Использованных источников: 7
Показатели — AkademScholar · Скоро