Resource Allocation Based on Dynamic User Priority for Indoor Visible Light Communication Ultra-Dense Networks

Abstract

Focusing on the problem of high user density in visible light communication ultra-dense networks (VLC-UDNs), this paper proposes a resource allocation method based on dynamic user priority. Firstly, this paper establishes a dynamic user priority measurement model, which realizes a multidimensional measurement for the differences among users. In the first stage, multi-dimensional features are selected dynamically with the change of network environment. In the second stage, the user priority calculation process is achieved through fuzzy logic (FL). Secondly, a throughput-maximizing resource allocation method with user priority guarantee is proposed. Simulation results show that the proposed multidimensional user priority model performs better than the conventional one-dimensional user priority model. In addition, the proposed throughput-maximizing allocation method outperforms the conventional proportion allocation method. The proposed resource allocation method based on dynamic user priority improves the system throughput against the conventional required data rate proportion allocation (RPA) method by 4%. Meanwhile, when the average blocking probability is higher than 0.45, it improves the proportion of satisfied users by up to 17.5%.