H. Djelouat, M. Leinonen and M. Juntti, "Joint Estimation of Clustered user Activity and Correlated Channels with Unknown Covariance in mMTC," ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095199.
Joint estimation of clustered user activity and correlated channels with unknown covariance in mMTC
|Author:||Djelouat, Hamza1; Leinonen, Markus1; Juntti, Markku1|
1Centre for Wireless Communications – Radio Technologies, University of Oulu, Finland
|Online Access:||PDF Full Text (PDF, 0.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2023051042609
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2023-05-10
This paper considers joint user identification and channel estimation (JUICE) in grant-free access with a clustered user activity pattern. In particular, we address the JUICE in massive machine-type communications (mMTC) network under correlated Rayleigh fading channels with unknown channel covariance matrices. We formulate the JUICE problem as a maximum a posteriori probability (MAP) problem with properly chosen priors to incorporate the partial knowledge of the UEs’ clustered activity and the unknown covariance matrices. We derive a computationally-efficient algorithm based on alternating direction method of multipliers (ADMM) to solve the MAP problem iteratively via a sequence of closed-form updates. Numerical results highlight the significant improvements brought by the proposed approach in terms of channel estimation and activity detection performances for clustered user activity patterns.
|Pages:||1 - 5|
Proceedings of the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
IEEE 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
This work has been financially supported in part by the Academy of Finland (ROHM project, grant 319485) and (6G Flagship program, grant 346208). The work of M. Leinonen†, deceased, was also financially supported by the Academy of Finland (grant 340171). H. Djelouat would like to acknowledge the support of the Tauno Tönning Foundation.
|Academy of Finland Grant Number:||
319485 (Academy of Finland Funding decision)
346208 (Academy of Finland Funding decision)
340171 (Academy of Finland Funding decision)
© 2023 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.