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

Kumin Cho, Junman Lee, Chung G. Kang

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Recent works on coverage analysis distinguish between the 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 languageEnglish
Article number8492443
Pages (from-to)160-163
Number of pages4
JournalIEEE Communications Letters
Volume23
Issue number1
DOIs
Publication statusPublished - 2019 Jan

Bibliographical note

Funding Information:
Manuscript received August 4, 2018; revised September 21, 2018; accepted September 28, 2018. Date of publication October 15, 2018; date of current version January 8, 2019. This work was supported by The Cross-Ministry Giga KOREA Project grant funded by the Korea government (MSIT) (No.GK18S0400, Research and Development of Open 5G Reference Model). The associate editor coordinating the review of this paper and approving it for publication was J. Lee. (Corresponding author: Chung G. Kang.) The authors are with the School of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: ccgkang@korea.ac.kr). Digital Object Identifier 10.1109/LCOMM.2018.2876112

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Coverage probability
  • Nakagami-lognormal fading
  • Poisson point process (PPP)
  • line-of-sight (LOS)
  • non-line-of-sight (NLOS)
  • stochastic geometry

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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