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This paper addresses the growing demand for high-bandwidth wireless datatransmission by exploring Visible Light Communication (VLC) as an alternativeto Radio Frequency (RF) communication. In indoor scenarios, VLC systems utilizeexisting lighting infrastructure for high-speed data transmission. To meet thedata rate demands of 5G and beyond, the paper proposes Non-Orthogonal MultipleAccess (NOMA) and introduces Empirical Fair Optical Power Allocation (EFOPA) tosimplify resource allocation in NOMA. EFOPA integrates NOMA with VLC, utilizingthe Artificial Bee Colony (ABC) optimization algorithm for offline resourceallocation planning. The approach then derives a simplified power allocationequation from ABC outcomes, ensuring fair resource distribution among users.EFOPA is compared against existing power allocation methods, demonstratingsuperior fairness and reduced computational complexity. Numerical evaluationsreveal EFOPA consistently outperforms other methods across various channelconditions, making it a robust and efficient solution for fair power allocationin NOMA-VLC systems.

A Novel Approach to Fair Power Allocation for NOMA in Visible Light Communication