Throughput optimization for massive random access of M2M communications in LTE networks

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

9 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISBN (print)9781467389990
Publication statusPublished - 22 May 2017

Publication series

Name
ISSN (Print)1550-3607

Conference

Title2017 IEEE International Conference on Communications, ICC 2017
LocationPalais des Congrès - Porte Maillot
PlaceFrance
CityParis
Period21 - 25 May 2017

Abstract

A key challenge for enabling Machine-to-Machine (M2M) communications in Long Term Evolution (LTE) networks is the intolerably low access efficiency in the presence of massive access requests. To address this issue, a new analytical
framework is proposed in this paper to optimize the random access performance of M2M communications in LTE networks. Both the maximum network throughput and the corresponding optimal backoff parameters are obtained as explicit functions of key system parameters including the number of preambles, the number of Machine Type Devices (MTDs) and the aggregate input rate. The analysis is verified by simulations and sheds important light on practical network design for supporting massive access of M2M communications in LTE networks.

Research Area(s)

  • Machine-to-Machine (M2M) communications, optimization, random access, throughput

Citation Format(s)

Throughput optimization for massive random access of M2M communications in LTE networks. / Zhan, Wen; Dai, Lin.
IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers, Inc., 2017. 7996628.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review