Coverage and rate analysis for 5G‐heterogeneous network: β‐Ginibre point process

Abstract

Stochastic geometry is emerging as tractable solution and attractive approach to evaluate the performance of 5G heterogeneous network (5G-Hetnet) such as coverage, outage and rate probability. The base stations (BSs) and fading distribution in 5G-Hetnet are an almost ubiquitous assumption for analytical study, requiring flexible and scalable approaches. However, the β-Ginibre point process (β-GPP) has been proposed as a new method to model wireless network. This study provides a general framework to analyse downlink mmWave cellular network with Nakagami-m fading and directional beamforming. First, cell association scheme in both line-of-site and non-line-of-site is considered based on the strongest average received power. After deriving cell association probability between user equipment and BS, the computationally coverage probability expression is obtained depending on signal-to-interference-plus-noise ratio. Furthermore, the impact of biasing factor on rate coverage probability is investigated. Finally, considering inter-cell-interference coordination, most performances metrics will be re-evaluated to determine their influence on the network. Recommended approaches produce satisfactory results when biasing factor and antenna beamforming are used.