Low-Complexity Coverage Analysis of Downlink Cellular Network for Combined LOS and NLOS Propagation

Kumin Cho; Junman Lee; Chung Gu Kang

doi:10.1109/LCOMM.2018.2876112

Low-Complexity Coverage Analysis of Downlink Cellular Network for Combined LOS and NLOS Propagation

Kumin Cho, Junman Lee, Chung Gu Kang

School of Electrical Engineering

Research output: Contribution to journal › Article

2 Citations (Scopus)

Abstract

Recent works on coverage analysis distinguish between line-of-sight (LOS) and non-LOS links, as they have a significant channel-gain difference. However, analyzing the effect of complex wireless channels while distinguishing between them requires highly complex computation. Herein, we propose an interference approximation method to reduce the computational complexity of such analysis comparing with previously proposed ones. Furthermore, this proposal enables coverage analysis with an only one-fold integral expression while ensuring accurate analysis for various blockage models and parameters, which is validated through simulation.

Original language	English
Journal	IEEE Communications Letters
DOIs	https://doi.org/10.1109/LCOMM.2018.2876112
Publication status	Accepted/In press - 2018 Jan 1

Keywords

3GPP
Approximation methods
Computational modeling
coverage probability
Fading channels
Interference
Laplace equations
line-of-sight (LOS)
Nakagami-lognormal fading
non-line-of-sight (NLOS)
Poisson point process (PPP)
stochastic geometry
Wireless communication

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2018.2876112

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Cho, K., Lee, J., & Kang, C. G. (Accepted/In press). Low-Complexity Coverage Analysis of Downlink Cellular Network for Combined LOS and NLOS Propagation. IEEE Communications Letters. https://doi.org/10.1109/LCOMM.2018.2876112

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abstract = "Recent works on coverage analysis distinguish between line-of-sight (LOS) and non-LOS links, as they have a significant channel-gain difference. However, analyzing the effect of complex wireless channels while distinguishing between them requires highly complex computation. Herein, we propose an interference approximation method to reduce the computational complexity of such analysis comparing with previously proposed ones. Furthermore, this proposal enables coverage analysis with an only one-fold integral expression while ensuring accurate analysis for various blockage models and parameters, which is validated through simulation.",

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