Maximizing the Probability of User Association of a Tier of a Multi-Tier Heterogeneous Network by Optimal Resource Allocation

Abstract

To satisfy the massive demand of wireless traffic in forthcoming cellular networks namely fifth generation and beyond, the rapid deployment of small cells is appearing as an engaging solution and accelerating the cellular or wireless network toward heterogeneity. A multi-tier heterogeneous network (HetNet) consists of several tiers of base stations having varied coverage capabilities. To maximize the coverage of a targeted tier of a multi-tier network optimal resource allocation is a mandatory process. Therefore, the research intended to maximize the probability of user association and hence the average number of associated user equipment of kth-tier (short extent micro cell) by optimal resource allocation i.e. power, tier, and user densities under network constraints. The work performed MATLAB-based simulation to maximize the probability of user association and the average number of associated UE to establish the research.