Resource allocation based on optimized cellular network AP layout for visible light communication heterogeneous network

Visible light communication (VLC) emerges as a promising wireless communication method to address the growing shortage of radio frequency resources. However, VLC faces challenges such as unstable data transmission, restricted coverage, and significant channel fading. To enhance data transmission quality, VLC can be integrated with traditional wireless communication methods within a heterogeneous network. This approach leverages the strengths of diverse technologies to achieve comprehensive indoor coverage and high-speed communication. A critical aspect of studying these heterogeneous networks is resource allocation. Three well-known resource management algorithms—maximum carrier-to-interference ratio (Max C/I), proportional fair (PF), and Maximum-Largest Weighted Delay First (M-LWDF)—are commonly utilized to optimize system throughput and fairness. However, M-LWDF suffers from a lack of fairness, leading to potential resource monopolization, while PF does not adequately account for access delays, limiting throughput improvements. This paper introduces a novel solution: the dynamic weighted proportional fair scheduling algorithm (DWPF), which integrates the strengths of both the M-LWDF and PF algorithms. By enhancing the layout of indoor visible light access points to consider distance effects, the DWPF algorithm achieves a throughput increase to 700 Mbps, with an average delay of approximately 0.006 ms and a utility value of 0.975. Additionally, both packet loss rate and fairness index demonstrate strong performance, ensuring users receive a high-quality communication experience.