Expectation propagation-based active user detection and channel estimation for massive machine-type communications

Jinyoup Ahn, Byonghyo Shim, Kwang Bok Lee

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

2 Citations (Scopus)

Abstract

In massive machine-type communication (mMTC), by utilizing sporadic device activities, compressed sensing based multi-user detection (CS-MUD) can be used to recover sparse multi-user vectors in the grant-free uplink non-orthogonal multiple access (NOMA) environments. In CS-MUD, the channel state information (CSI) between each active device and the basestation should be estimated before the symbol detection. In this paper, we propose a novel Bayesian joint active user detection (AUD) and channel estimation (CE) method based on the expectation propagation (EP) algorithm. The proposed method finds the best Gaussian approximation for the computationally intractable posterior distribution of the sparse channel vector using iterative EP parameter update rules. Using the approximated distribution, identification and CSI estimation of active devices are jointly performed. We show from numerical simulations that the proposed technique greatly improves the performance of AUD and CE.

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
Externally publishedYes
Event2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Kansas City, United States
Duration: 2018 May 202018 May 24

Other

Other2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018
CountryUnited States
CityKansas City
Period18/5/2018/5/24

Keywords

  • Active user detection
  • Channel estimation
  • Compressed sensing
  • Expectation propagation
  • Massive machine-type communication
  • Nonorthogonal multiple access

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Expectation propagation-based active user detection and channel estimation for massive machine-type communications'. Together they form a unique fingerprint.

  • Cite this

    Ahn, J., Shim, B., & Lee, K. B. (2018). Expectation propagation-based active user detection and channel estimation for massive machine-type communications. In 2018 IEEE International Conference on Communications Workshops, ICC Workshops 2018 - Proceedings (pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCW.2018.8403604