A stochastic geometry analysis of D2D overlaying multi-channel downlink cellular networks

Jiajia Liu, Shangwei Zhang, Hiroki Nishiyama, Nei Kato, Jun Guo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

45 Citations (Scopus)

Abstract

Based on the tool of stochastic geometry, we present in this paper a framework for analyzing the coverage probability and ergodic rate in a D2D overlaying multi-channel downlink cellular network. Different from previous works, 1) we consider a flexible new scheme for mobile UEs to select operation mode individually, under which a mobile UE decides to establish a cellular link (with a BS) or a D2D link (with a neighboring UE) based on the pilot signal strength received from its nearest BS; 2) we allow a mobile UE which is located far from BSs to connect to a nearby BS via another intermediate UE in a two-hop manner. Our results indicate that the developed framework is very helpful for network designers to efficiently determine the optimal network parameters at which the optimum system performance can be achieved. Furthermore, as corroborated by extensive numerical results, enabling the D2D link based two-hop connection can significantly improve the network coverage performance, especially for the low SIR regime.

Original languageEnglish
Title of host publication2015 IEEE Conference on Computer Communications, IEEE INFOCOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages46-54
Number of pages9
ISBN (Electronic)9781479983810
DOIs
Publication statusPublished - 2015 Aug 21
Event34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015 - Hong Kong, Hong Kong
Duration: 2015 Apr 262015 May 1

Publication series

NameProceedings - IEEE INFOCOM
Volume26
ISSN (Print)0743-166X

Other

Other34th IEEE Annual Conference on Computer Communications and Networks, IEEE INFOCOM 2015
CountryHong Kong
CityHong Kong
Period15/4/2615/5/1

Keywords

  • Device-to-device communication
  • downlink
  • multi-channel
  • performance analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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