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User activity detection and channel estimation of spatially correlated channels via AMP in massive MTC

Djelouat, Hamza; Marata, Leatile; Leinonen, Markus; Alves, Hirley; Juntti, Markku (2022-03-04)

 
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https://doi.org/10.1109/ieeeconf53345.2021.9723198

Djelouat, Hamza
Marata, Leatile
Leinonen, Markus
Alves, Hirley
Juntti, Markku
Institute of Electrical and Electronics Engineers
04.03.2022

H. Djelouat, L. Marata, M. Leinonen, H. Alves and M. Juntti, "User Activity Detection and Channel Estimation of Spatially Correlated Channels via AMP in Massive MTC," 2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021, pp. 1200-1204, doi: 10.1109/IEEECONF53345.2021.9723198.

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© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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doi:https://doi.org/10.1109/ieeeconf53345.2021.9723198
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Abstract

This paper addresses the problem of joint user identification and channel estimation (JUICE) for grant-free access in massive machine-type communications (mMTC). We consider the JUICE under a spatially correlated fading channel model as that reflects the main characteristics of the practical multiple-input multiple-output channels. We formulate the JUICE as a sparse recovery problem in a multiple measurement vector setup and present a solution based on the approximate message passing (AMP) algorithm that takes into account the channel spatial correlation. Using the state evolution, we provide a detailed theoretical analysis on the activity detection performance of AMP-based JUICE by deriving closed-from expressions for the probabilities of miss detection and false alarm. The simulation experiments show that the performance predicted by the theoretical analysis matches the one obtained by the numerical results.

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