Distributed sparse activity detection in cell-free massive MIMO systems

Mangqing Guo; M. Cenk Gursoy

doi:10.1109/GlobalSIP45357.2019.8969500

Distributed sparse activity detection in cell-free massive MIMO systems

Mangqing Guo, M. Cenk Gursoy

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

13 Scopus citations

Abstract

Distributed sparse activity detection in cell-free massive multiple-input multiple-output (MIMO) systems is considered in this paper. At the beginning of each channel coherence interval, all the active users send pilots to the access points (APs). Then, each AP makes its own decision on the activity of all the users based on the approximate message passing (AMP) iterative procedure. Following this, the optimal fusion rule is used at the fusion center to make the final decisions on the activity of all the users based on the individual decisions and the corresponding reliability obtained at all the APs. The performance levels of this distributed sparse activity detection method are analyzed with Monte Carlo simulations.

Original language	English (US)
Title of host publication	GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728127231
DOIs	https://doi.org/10.1109/GlobalSIP45357.2019.8969500
State	Published - Nov 2019
Event	7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019 - Ottawa, Canada Duration: Nov 11 2019 → Nov 14 2019

Publication series

Name	GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings

Conference

Conference	7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019
Country/Territory	Canada
City	Ottawa
Period	11/11/19 → 11/14/19

Keywords

Cell-free massive MIMO
Fusion.
Log-likelihood ratio test
Sparse activity detection

ASJC Scopus subject areas

Information Systems
Information Systems and Management
Artificial Intelligence
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/GlobalSIP45357.2019.8969500

Cite this

Guo, M., & Gursoy, M. C. (2019). Distributed sparse activity detection in cell-free massive MIMO systems. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings Article 8969500 (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP45357.2019.8969500

Distributed sparse activity detection in cell-free massive MIMO systems. / Guo, Mangqing; Gursoy, M. Cenk.
GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 8969500 (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Guo, M & Gursoy, MC 2019, Distributed sparse activity detection in cell-free massive MIMO systems. in GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings., 8969500, GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings, Institute of Electrical and Electronics Engineers Inc., 7th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2019, Ottawa, Canada, 11/11/19. https://doi.org/10.1109/GlobalSIP45357.2019.8969500

Guo M, Gursoy MC. Distributed sparse activity detection in cell-free massive MIMO systems. In GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 8969500. (GlobalSIP 2019 - 7th IEEE Global Conference on Signal and Information Processing, Proceedings). doi: 10.1109/GlobalSIP45357.2019.8969500

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Distributed sparse activity detection in cell-free massive MIMO systems

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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