A novel cross-layer protocol for random access in massive machine-type communications

Qi He, Zhengchuan Chen, Tony Q.S. Quek, Zhi Chen, Shaoqian Li

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

1 Citation (Scopus)

Abstract

This paper considers cross-layer random access protocol design in the massive machine-type communication (mMTC) scenario. Compared to traditional slotted ALOHA, multi-user detection (MUD) and channel estimation (CE) in the proposed protocol are implemented by compressed sensing technology in isolation, which makes it possible that multiple collided packets can be recovered in one single time slot. The adoption of successive- interference cancellation further enhances the recovery ability. The proposed protocol leads to low signaling overhead and has potential to support the massive uplink connectivity in mMTC. The main factors affecting the performance of MUD and CE are analyzed and a novel low-complexity method is proposed for MUD and CE. Analytical results are given on the data recovery, dynamics of active user equipment number, and packet transmission delay. Numerical results are also provided to investigate the effect of factors on the performance of the proposed protocol.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538643280
DOIs
Publication statusPublished - 2018 Jul 3
Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
Duration: 2018 May 202018 May 24

Publication series

Name2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings

Conference

Conference2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
CountryUnited States
CityKansas City
Period18-05-2018-05-24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture

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