University of Oulu

H. Djelouat, M. Leinonen and M. Juntti, "Iterative Reweighted Algorithms for Joint User Identification and Channel Estimation in Spatially Correlated Massive MTC," ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, pp. 4805-4809, doi: 10.1109/ICASSP39728.2021.9413733

Iterative reweighted algorithms for joint user identification and channel estimation in spatially correlated massive MTC

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Author: Djelouat, Hamza1; Leinonen, Markus1; Juntti, Markku1
Organizations: 1Centre for Wireless Communications – Radio Technologies, FI-90014, University of Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.3 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-08-06


Joint user identification and channel estimation (JUICE) is a main challenge in grant-free massive machine-type communications (mMTC). The sparse pattern in users’ activity allows to solve the JUICE as a compressed sensing problem in a multiple measurement vector (MMV) setup. This paper addresses the JUICE under the practical spatially correlated fading channel. We formulate the JUICE as an iterative reweighted ℓ 2,1 -norm optimization. We develop a computationally efficient alternating direction method of multipliers (ADMM) approach to solve it. In particular, by leveraging the second-order statistics of the channels, we reformulate the JUICE problem to exploit the covariance information and we derive its ADMM-based solution. The simulation results highlight the significant improvements brought by the proposed approach in terms of channel estimation and activity detection performances.

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Series: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing
ISSN: 1520-6149
ISSN-E: 2379-190X
ISSN-L: 1520-6149
ISBN: 978-1-7281-7605-5
ISBN Print: 978-1-7281-7606-2
Pages: 4805 - 4809
DOI: 10.1109/ICASSP39728.2021.9413733
Host publication: 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings
Conference: International Conference on Acoustics, Speech, and Signal Processing
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work has been financially supported in part by the Academy of Finland (ROHM project, grant 319485) and Academy of Finland 6Genesis Flagship (grant 318927). The work of M. Leinonen has also been financially supported in part by Infotech Oulu and the Academy of Finland (grant 323698).
Academy of Finland Grant Number: 319485
Detailed Information: 319485 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
323698 (Academy of Finland Funding decision)
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