  This paper addresses the growing demand for high-bandwidth wireless data
transmission by exploring Visible Light Communication (VLC) as an alternative
to Radio Frequency (RF) communication. In indoor scenarios, VLC systems utilize
existing lighting infrastructure for high-speed data transmission. To meet the
data rate demands of 5G and beyond, the paper proposes Non-Orthogonal Multiple
Access (NOMA) and introduces Empirical Fair Optical Power Allocation (EFOPA) to
simplify resource allocation in NOMA. EFOPA integrates NOMA with VLC, utilizing
the Artificial Bee Colony (ABC) optimization algorithm for offline resource
allocation planning. The approach then derives a simplified power allocation
equation from ABC outcomes, ensuring fair resource distribution among users.
EFOPA is compared against existing power allocation methods, demonstrating
superior fairness and reduced computational complexity. Numerical evaluations
reveal EFOPA consistently outperforms other methods across various channel
conditions, making it a robust and efficient solution for fair power allocation
in NOMA-VLC systems.
