On the outage probability of device-to-device-communication-enabled multichannel cellular networks: An RSS-threshold-based perspective

Jiajia Liu, Hiroki Nishiyama, Nei Kato, Jun Guo

Research output: Contribution to journalArticle

145 Citations (Scopus)

Abstract

In this paper, we study the outage probability of device-to-device (D2D)-communication-enabled cellular networks from a general threshold-based perspective. Specifically, a mobile user equipment (UE) transmits in D2D mode if the received signal strength (RSS) from the nearest base station (BS) is less than a specified threshold β ≥ 0; otherwise, it connects to the nearest BS and transmits in cellular mode. The RSS-threshold-based setting is general in the sense that by varying β from β = 0 to β =∞, the network accordingly evolves from a traditional cellular network (including only cellular mode) toward a wireless ad hoc network (including only D2D mode). We provide a unified framework to analyze the downlink outage probability in a multichannel environment with Rayleigh fading, where the spatial distributions of BSS and UEs are well explicitly accounted for by utilizing stochastic geometry. We derive closed-form expressions for the outage probability of a generic UE and that in both cellular mode and D2D mode and quantify the performance gains in outage probability that can be obtained by allowing such RSS-thresholdbased D2D communications. We show that increasing the number of channels, although able to support more cellular UEs, may result in an increase of outage probability in the D2D-enabled cellular network. The corresponding condition and reason are also identified by applying our framework.

Original languageEnglish
Article number7147772
Pages (from-to)163-175
Number of pages13
JournalIEEE Journal on Selected Areas in Communications
Volume34
Issue number1
DOIs
Publication statusPublished - 2016 Jan 1

Keywords

  • Ad hoc network
  • Cellular network
  • Device-to-device communication
  • Downlink
  • Outage probability

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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