Multi-Cell Performance of Grant-Free and Non-Orthogonal Multiple Access

Ameha T. Abebe, Joonsung Lee, Minjoog Rim, Chung G. Kang

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

3 Citations (Scopus)


The compressive sensing-based random access may get impacted largely by other cell interference (OCI), which may shatter the sparsity of the received signal model unless the signature space assignment among interfering cells is carefully handled. In this paper, we investigate the performance of multi-sequence spreading-based random access (MSRA) scheme under multi-cell environment. In particular, a grant-free random access scenario is considered to indicate its particular attributes that fundamentally affect the cellular performance. We also give the performance of MSRA in comparison with sparse code multiple access (SCMA). We show that if a proper signature assignment is undertaken, the OCI in MSRA and other CS-based schemes can be modeled as a dispersed noise which does not critically undermine the underlying sparsity.

Original languageEnglish
Title of host publication2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509059324
Publication statusPublished - 2017 Nov 14
Event85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia
Duration: 2017 Jun 42017 Jun 7

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other85th IEEE Vehicular Technology Conference, VTC Spring 2017


  • Machine-Type Communication (MTC)
  • Multi-Sequence Spreading Random Accees (MSRA)
  • Multiuser Detection (MUD)
  • Other-Cell Interference (OCI)

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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