Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems

Navneet Garg; Mathini Sellathurai; Tharmalingam Ratnarajah

doi:10.1109/SPAWC48557.2020.9154302

Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems

Navneet Garg, Mathini Sellathurai, Tharmalingam Ratnarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The downlink channel estimation techniques in FDD (frequency-division-duplex) massive MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the spatial information of the multi-path channel. In this paper, we investigate the low-complexity algorithm based on the Newtonized orthogonal matching pursuit (NOMP) algorithm. Towards that, we first derive an NOMP approach for joint parameters updates. Further, to reduce the computational overhead of the updates, we relax the Hessian to be block diagonal. Simulations demonstrate that the both algorithms achieve an approximately similar performance as compared to the recent approach in [1], while incurring lower overheads.

Original language	English
Title of host publication	2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Publisher	IEEE
ISBN (Electronic)	9781728154787
DOIs	https://doi.org/10.1109/SPAWC48557.2020.9154302
Publication status	Published - 3 Aug 2020
Event	21st IEEE International Workshop on Signal Processing Advances in Wireless Communications 2020 - Atlanta, United States Duration: 26 May 2020 → 29 May 2020

Publication series

Name	IEEE Workshop on Signal Processing Advances in Wireless Communications
ISSN (Electronic)	1948-3252

Conference

Conference	21st IEEE International Workshop on Signal Processing Advances in Wireless Communications 2020
Abbreviated title	SPAWC 2020
Country	United States
City	Atlanta
Period	26/05/20 → 29/05/20

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Information Systems

Access to Document

10.1109/SPAWC48557.2020.9154302

Link to publication in Scopus

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Garg, N., Sellathurai, M., & Ratnarajah, T. (2020). Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems. In 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) [9154302] (IEEE Workshop on Signal Processing Advances in Wireless Communications). IEEE. https://doi.org/10.1109/SPAWC48557.2020.9154302

@inproceedings{3657d95a59ab44bdaf76f65e392c8c6a,

title = "Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems",

abstract = "The downlink channel estimation techniques in FDD (frequency-division-duplex) massive MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the spatial information of the multi-path channel. In this paper, we investigate the low-complexity algorithm based on the Newtonized orthogonal matching pursuit (NOMP) algorithm. Towards that, we first derive an NOMP approach for joint parameters updates. Further, to reduce the computational overhead of the updates, we relax the Hessian to be block diagonal. Simulations demonstrate that the both algorithms achieve an approximately similar performance as compared to the recent approach in [1], while incurring lower overheads.",

author = "Navneet Garg and Mathini Sellathurai and Tharmalingam Ratnarajah",

year = "2020",

month = aug,

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doi = "10.1109/SPAWC48557.2020.9154302",

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publisher = "IEEE",

booktitle = "2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)",

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Garg, N, Sellathurai, M & Ratnarajah, T 2020, Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems. in 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)., 9154302, IEEE Workshop on Signal Processing Advances in Wireless Communications, IEEE, 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications 2020, Atlanta, United States, 26/05/20. https://doi.org/10.1109/SPAWC48557.2020.9154302

Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems. / Garg, Navneet; Sellathurai, Mathini; Ratnarajah, Tharmalingam.

2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2020. 9154302 (IEEE Workshop on Signal Processing Advances in Wireless Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - The downlink channel estimation techniques in FDD (frequency-division-duplex) massive MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the spatial information of the multi-path channel. In this paper, we investigate the low-complexity algorithm based on the Newtonized orthogonal matching pursuit (NOMP) algorithm. Towards that, we first derive an NOMP approach for joint parameters updates. Further, to reduce the computational overhead of the updates, we relax the Hessian to be block diagonal. Simulations demonstrate that the both algorithms achieve an approximately similar performance as compared to the recent approach in [1], while incurring lower overheads.

AB - The downlink channel estimation techniques in FDD (frequency-division-duplex) massive MIMO (multiple-input multiple-output) systems rely upon the spatial reciprocity to obtain the spatial information of the multi-path channel. In this paper, we investigate the low-complexity algorithm based on the Newtonized orthogonal matching pursuit (NOMP) algorithm. Towards that, we first derive an NOMP approach for joint parameters updates. Further, to reduce the computational overhead of the updates, we relax the Hessian to be block diagonal. Simulations demonstrate that the both algorithms achieve an approximately similar performance as compared to the recent approach in [1], while incurring lower overheads.

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Garg N, Sellathurai M, Ratnarajah T. Low Complexity Joint OMP Methods for FDD Channel Estimation in Massive MIMO Systems. In 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE. 2020. 9154302. (IEEE Workshop on Signal Processing Advances in Wireless Communications). https://doi.org/10.1109/SPAWC48557.2020.9154302