Group Paging for Massive Machine-Type Communications with Diverse Access Requirements

Wei Cao, Alex Dytso, Gang Feng, H. Vincent Poor, Zhi Chen

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

Abstract

Massive machine-type communication (mMTC) has been identified as one of the three generic 5G services, with the aim of providing connectivity to a large number of devices. The concurrent massive access may lead to congestions due to limited access resources. Group paging (GP) has emerged as one of the promising solutions to alleviate network congestion by controlling access load. However, the performance of GP deteriorates drastically with the number of devices per paging group. This paper explores GP with pre-backoff strategy for a general mMTC scenario in which devices are allowed to have diverse access success probability (ASP) requirements, and proposes an ASP requirement guaranteed GP scheme with specific pre-backoff times (GPSP), with the aim of maximizing the total access rate. To fully adapt to mMTC applications, an efficient heuristic algorithm is designed. Numerical results demonstrate that the proposed GPSP scheme can effectively improve system performance in terms of average ASP, average access delay, and the average number of preamble transmissions.

Original languageEnglish (US)
Title of host publication2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538647271
DOIs
StatePublished - 2018
Externally publishedYes
Event2018 IEEE Global Communications Conference, GLOBECOM 2018 - Abu Dhabi, United Arab Emirates
Duration: Dec 9 2018Dec 13 2018

Publication series

Name2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings

Conference

Conference2018 IEEE Global Communications Conference, GLOBECOM 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period12/9/1812/13/18

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Renewable Energy, Sustainability and the Environment
  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Modeling and Simulation
  • Instrumentation
  • Computer Networks and Communications

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