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Performance Analysis of Clustering Algorithms for Content-Sharing Based D2D Enabled 5G Networks

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

5G networks are expected to be content-centric which present various research challenges. Content-Sharing via Device-to-Device (D2D) clustered networks has emerged as a popular approach of alleviating the burden on the 5G network. A novel channel-based clustering algorithm, for grouping the D2D User Equipment (DUEs) sharing a common interest, is proposed in this paper. Performance parameters such as energy consumption of devices and area spectral efficiencies (ASE) are considered for evaluating the performance of the D2D clustered network in a simulation study. The proposed algorithm exhibits better node energy consumptions as compared to several existing clustering algorithms. It also yields better ASE compared to the existing algorithms for various node densities. Effect of the number of clusters on the performance parameters is also discussed.

Original languageEnglish
Title of host publication2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781728136738
DOIs
Publication statusPublished - Nov 2019
Externally publishedYes
Event29th International Telecommunication Networks and Applications Conference, ITNAC 2019 - Auckland, New Zealand
Duration: 27 Nov 201929 Nov 2019

Publication series

Name2019 29th International Telecommunication Networks and Applications Conference, ITNAC 2019

Conference

Conference29th International Telecommunication Networks and Applications Conference, ITNAC 2019
Country/TerritoryNew Zealand
CityAuckland
Period27/11/1929/11/19

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

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