Joint active user detection and channel estimation for massive machine-type communications

Sunho Park, Heejin Seo, Hyoungju Ji, Byonghyo Shim

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

12 Citations (Scopus)

Abstract

These days, we are witnessing that numerous machine-type devices are connected to the internet. Massive connectivity is one of the most important requirements for the next generation 5G networks. Since the complicated scheduling process of current 4G systems causes heavy load and large latency in supporting a large number of devices, the grant-free communication becomes viable option in massive machine type communication (mMTC) systems. In this paper, we propose a joint active user detection (AUD) and channel estimation (CE) technique for grant-free mMTC systems. The proposed algorithm consists of AUD, time-domain channel estimation, and identified user cancellation. Specifically, once an active device is identified, the channel for this device is estimated. Using the active user and channel information, the received signal is refined for the next iteration of AUD process. We show that the proposed iterative AUD and CE algorithm achieves substantial performance gain over the conventional AUD in realistic uplink grant-free mMTC environments.

Original languageEnglish
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2017-July
ISBN (Electronic)9781509030088
DOIs
Publication statusPublished - 2017 Dec 19
Externally publishedYes
Event18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan
Duration: 2017 Jul 32017 Jul 6

Other

Other18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
CountryJapan
CitySapporo
Period17/7/317/7/6

Fingerprint

Channel estimation
Communication
Communication systems
Scheduling
Internet

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

Cite this

Park, S., Seo, H., Ji, H., & Shim, B. (2017). Joint active user detection and channel estimation for massive machine-type communications. In 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 (Vol. 2017-July, pp. 1-5). [8227673] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SPAWC.2017.8227673

Joint active user detection and channel estimation for massive machine-type communications. / Park, Sunho; Seo, Heejin; Ji, Hyoungju; Shim, Byonghyo.

18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017. Vol. 2017-July Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 8227673.

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

Park, S, Seo, H, Ji, H & Shim, B 2017, Joint active user detection and channel estimation for massive machine-type communications. in 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017. vol. 2017-July, 8227673, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017, Sapporo, Japan, 17/7/3. https://doi.org/10.1109/SPAWC.2017.8227673
Park S, Seo H, Ji H, Shim B. Joint active user detection and channel estimation for massive machine-type communications. In 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017. Vol. 2017-July. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-5. 8227673 https://doi.org/10.1109/SPAWC.2017.8227673
Park, Sunho ; Seo, Heejin ; Ji, Hyoungju ; Shim, Byonghyo. / Joint active user detection and channel estimation for massive machine-type communications. 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017. Vol. 2017-July Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-5
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