Adaptive Congestion Control for Massive Machine Type Communications in Cellular Network

Boisguene Rubbens, Chih Wei Huang

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

3 Scopus citations

Abstract

The ubiquitous deployment of massive Machine-Type Communication (mMTC) devices and the traffic diversity of the various IoT applications challenge the network efficiency. It suffers Congestion and signaling overload due to the high probability of collisions, especially in a dense network scenario. In this paper, we propose an adaptive grouping and strategy for the mMTC devices capable of reducing the number of simultaneous transmissions. Hence guarantee the successful transmission of the data in the 5G cellular network.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173993
DOIs
StatePublished - 28 Sep 2020
Event7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/TerritoryTaiwan
CityTaoyuan
Period28/09/2030/09/20

Keywords

  • 3GPP
  • 5G Network
  • Grouping
  • ID sharing
  • IoT
  • Network congestion
  • Overload
  • Scheduling
  • mMTC

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