Open AccessCoverage and rate analysis for 5G‐heterogeneous network: β‐Ginibre point process
Author(s) -
Amine Ouamri Mohamed
Publication year - 2020
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2020.0599
Subject(s) - beamforming , stochastic geometry , computer science , nakagami distribution , base station , fading , coverage probability , heterogeneous network , telecommunications link , cellular network , wireless network , point process , signal to interference plus noise ratio , interference (communication) , wireless , computer network , algorithm , telecommunications , power (physics) , statistics , mathematics , decoding methods , physics , channel (broadcasting) , quantum mechanics , confidence interval
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.