Hybrid Active User Detection for Massive Machine-type Communications in IoT

Guyoung Lim, Hyoungju Ji, Byonghyo Shim

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

2 Citations (Scopus)

Abstract

Massive machine-type communication (mMTC) concerns the access of massive machine-type communication (MTC) devices to the basestation. To support the massive connectivity, non-orthogonal multiple access (NOMA) and grant-free access have been recently introduced. In grant-free access, each device transmits information without scheduling so that the basestation needs to identify the active devices among all potential devices in a cell. This process, called an active user detection (AUD), is a challenging problem for the NOMA-based systems since it is difficult to find out the active devices from the superimposed received signal. To address this problem, compressed sensing (CS) based active user detection (AUD) technique exploiting the low activity of devices in mMTC has been introduced. In this paper, we propose an AUD scheme that exploits both pilot and data measurements to improve the AUD performance in grant-free NOMA systems. The key idea is to use the common support information of pilot and data signals in a packet. Numerical results demonstrate that the proposed AUD scheme outperforms the conventional approaches in both AUD and throughput performance.

Original languageEnglish
Title of host publication9th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationICT Convergence Powered by Smart Intelligence, ICTC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1049-1052
Number of pages4
ISBN (Electronic)9781538650400
DOIs
Publication statusPublished - 2018 Nov 16
Event9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of
Duration: 2018 Oct 172018 Oct 19

Other

Other9th International Conference on Information and Communication Technology Convergence, ICTC 2018
CountryKorea, Republic of
CityJeju Island
Period18/10/1718/10/19

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Keywords

  • active user detection (AUD)
  • compressed sensing (CS)
  • grant-free
  • Massive machine-type communication (mMTC)
  • non-orthogonal multiple access (NOMA)

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Artificial Intelligence

Cite this

Lim, G., Ji, H., & Shim, B. (2018). Hybrid Active User Detection for Massive Machine-type Communications in IoT. In 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 (pp. 1049-1052). [8539661] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2018.8539661