Joint mode selection and resource allocation for D2D communications under queueing constraints

Research output: Chapter in Book/Entry/PoemConference contribution

20 Scopus citations

Abstract

Device-to-device (D2D) communication underlaid with cellular networks is a new paradigm, proposed to enhance the performance of cellular networks. By allowing a pair of D2D users to communicate directly and share the same spectral resources with the cellular users, D2D communication can achieve higher spectral efficiency, improve the energy efficiency, and lower the traffic delay. In this paper, we propose a novel channel matching algorithm for joint mode selection and channel allocation with the goal of maximizing the system throughput under statistical queueing constraints. Seven possible modes are considered, namely the D2D cellular mode, D2D dedicated mode, uplink dedicated mode, downlink dedicated mode, uplink reuse mode, downlink reuse mode, and D2D reuse mode. Using tools from stochastic network calculus, the throughput is characterized by determining the effective capacity. We formulate the channel allocation problem as a maximum-weight matching problem, which can be solved by employing the Hungarian algorithm. Via simulation results, we verify the performance improvements achieved by our proposed matching algorithm.

Original languageEnglish (US)
Title of host publication2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages490-495
Number of pages6
ISBN (Electronic)9781467399555
DOIs
StatePublished - Sep 6 2016
Event35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States
Duration: Apr 10 2016Apr 14 2016

Publication series

NameProceedings - IEEE INFOCOM
Volume2016-September
ISSN (Print)0743-166X

Other

Other35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/TerritoryUnited States
CitySan Francisco
Period4/10/164/14/16

ASJC Scopus subject areas

  • General Computer Science
  • Electrical and Electronic Engineering

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