Optimizing channel allocation for D2D overlaying multi-channel downlink cellular networks

Jiajia Liu, Jiahao Dai, Yuichi Kawamoto, Nei Kato

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

5 Citations (Scopus)

Abstract

In this paper, a new framework based on the tool of stochastic geometry is proposed to analyze the coverage probability and average rate with different channel allocations in a D2D multi-channel downlink cellular network. We consider a network with two types of users: cellular users and D2D users, where each D2D user has its own D2D relay and can only receive data from the relay. Cellular users and D2D relays can establish cellular links with the nearest base station through cellular channels only if the SINR is above a threshold. D2D users communicate with their own D2D relays to form D2D links through specific D2D channels. As validated by extensive numerical results, we are able to find the optimal channel allocation for D2D communications, to achieve the optimal system performance in terms of coverage probability and average rate.

Original languageEnglish
Title of host publication2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509017010
DOIs
Publication statusPublished - 2016 Jul 2
Event84th IEEE Vehicular Technology Conference, VTC Fall 2016 - Montreal, Canada
Duration: 2016 Sep 182016 Sep 21

Publication series

NameIEEE Vehicular Technology Conference
Volume0
ISSN (Print)1550-2252

Other

Other84th IEEE Vehicular Technology Conference, VTC Fall 2016
CountryCanada
CityMontreal
Period16/9/1816/9/21

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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  • Cite this

    Liu, J., Dai, J., Kawamoto, Y., & Kato, N. (2016). Optimizing channel allocation for D2D overlaying multi-channel downlink cellular networks. In 2016 IEEE 84th Vehicular Technology Conference, VTC Fall 2016 - Proceedings [7881139] (IEEE Vehicular Technology Conference; Vol. 0). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCFall.2016.7881139