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Throughput Analysis of the Cache-Enabled Device-to-Device Communication and Small Base Stations Assisting in Cellular Networks

  • Beihang University
  • Temple University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Caching of content on wireless devices in conjunction with device-to-device (D2D) communications is becoming a promising technique in next generation mobile cellular networks (a.k.a., 5G). In this paper, we study the potential throughput benefits that could be obtained through a distributed caching strategy employing both user equipment units (UEs) and denselydeployed small base stations (SBSs). SBSs are able to store the most popular files and deliver user content accordingly. We assume that UEs use the random cache strategy to cache the content aligning with their own favorite interests. Based on the mathematic tool of stochastic geometry, we derive the success probabilities of the cellular link (from SBS to UE) and the D2D link (from UE to UE), respectively. Furthermore, we analyze the success-delivering probabilities of the D2D link with random caching strategy and the cellular link with deterministic caching strategy. Finally, we present the closed form expression of the throughput for such a network. The developed results are very helpful for network designers to efficiently determine the optimal network parameters at which the optimum system performance can be achieved. As corroborated by extensive numerical results, caching can significantly improve the network throughput, using both UEs and SBSs.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
EditorsYulei Wu, Geyong Min, Nektarios Georgalas, Ahmed Al-Dubi, Xiaolong Jin, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages414-421
Number of pages8
ISBN (Electronic)9781538630655
DOIs
StatePublished - 2 Jul 2017
EventJoint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017 - Exeter, United Kingdom
Duration: 21 Jun 201723 Jun 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
Volume2018-January

Conference

ConferenceJoint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
Country/TerritoryUnited Kingdom
CityExeter
Period21/06/1723/06/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Cache
  • Device-to-device Communication
  • Small Base Stations
  • Stochastic Geometry
  • Throughput

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