Comprehensive grant-free random access for massive & low latency communication

Ameha T. Abebe, Chung G. Kang

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

41 Citations (Scopus)


In this paper, we introduce a comprehensive grant-free random access scheme for machine-type communication which is characterized by massive connectivity and low latency. The scheme presented in here is comprehensive in a sense that, synchronization, channel estimation, and users identification & data detection (multi-user detection) are performed all in a single shot. The scheme employs compressive sensing by exploiting two sparse phenomena: sparsity in users activity and sparsity in multi-path channel. Furthermore, the scheme is designed in such a way that channel estimation and multi-user detection have a bi-directional mutual relationship, enabling one to reinforce the other for accurate detection and estimation. Moreover, the iterative order recursive least square (IORLS) estimation algorithm is modified & employed in such a way that it exploits the joint structure in multi-path channel and multi-user signal sparsity.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
EditorsMerouane Debbah, David Gesbert, Abdelhamid Mellouk
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
Publication statusPublished - 2017 Jul 28
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: 2017 May 212017 May 25

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607


Other2017 IEEE International Conference on Communications, ICC 2017


  • compressive sensing
  • machine-type communication
  • multi-user detection
  • sparse channel detection
  • synchronization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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