Sampling-based tracking of time-varying channels for millimeter wave-band communications

Jin Hyeok Yoo; Jisu Bae; Sun Hong Lim; Sunwoo Kim; Jun Won Choi; Byonghyo Shim

doi:10.1109/ICC.2017.7996518

Sampling-based tracking of time-varying channels for millimeter wave-band communications

Jin Hyeok Yoo, Jisu Bae, Sun Hong Lim, Sunwoo Kim, Jun Won Choi, Byonghyo Shim

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

13 Citations (Scopus)

Abstract

In this paper, we propose a new recursive sparse channel recovery algorithm which can track time-varying support of angular domain channel response vector in mobility scenario for millimeter wave-band communications. We model the angle of departure (AoD) and the angle of arrival (AoA) using discrete state Markov random process and derive joint estimation of the time-varying support and amplitude of the angular domain channel vector. Using sequential Monte Carlo (SMC) method, the proposed channel estimation scheme tracks the support by drawing the samples from a posteriori distribution of the support indices while capturing the dynamics of time-varying amplitude using Kalman filter. Our simulation results show that the proposed algorithm yields significantly better tracking performance than the existing compressed sensing schemes.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7996518
Publication status	Published - 2017 Jul 28
Externally published	Yes
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 2017 May 21 → 2017 May 25

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Other

Other	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	17/5/21 → 17/5/25

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work is supported by Samsung Research Funding & Incubation Center of Samsung Electronics under Project Number SRFC-IT-1601-09.

Publisher Copyright:
© 2017 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering

Access to Document

10.1109/ICC.2017.7996518

Cite this

Yoo, J. H., Bae, J., Lim, S. H., Kim, S., Choi, J. W., & Shim, B. (2017). Sampling-based tracking of time-varying channels for millimeter wave-band communications. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7996518 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7996518

Sampling-based tracking of time-varying channels for millimeter wave-band communications. / Yoo, Jin Hyeok; Bae, Jisu; Lim, Sun Hong et al.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7996518 (IEEE International Conference on Communications).

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

Yoo, JH, Bae, J, Lim, SH, Kim, S, Choi, JW & Shim, B 2017, Sampling-based tracking of time-varying channels for millimeter wave-band communications. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7996518, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 17/5/21. https://doi.org/10.1109/ICC.2017.7996518

Yoo JH, Bae J, Lim SH, Kim S, Choi JW, Shim B. Sampling-based tracking of time-varying channels for millimeter wave-band communications. In Debbah M, Gesbert D, Mellouk A, editors, 2017 IEEE International Conference on Communications, ICC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. 7996518. (IEEE International Conference on Communications). doi: 10.1109/ICC.2017.7996518

Yoo, Jin Hyeok ; Bae, Jisu ; Lim, Sun Hong et al. / Sampling-based tracking of time-varying channels for millimeter wave-band communications. 2017 IEEE International Conference on Communications, ICC 2017. editor / Merouane Debbah ; David Gesbert ; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE International Conference on Communications).

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title = "Sampling-based tracking of time-varying channels for millimeter wave-band communications",

abstract = "In this paper, we propose a new recursive sparse channel recovery algorithm which can track time-varying support of angular domain channel response vector in mobility scenario for millimeter wave-band communications. We model the angle of departure (AoD) and the angle of arrival (AoA) using discrete state Markov random process and derive joint estimation of the time-varying support and amplitude of the angular domain channel vector. Using sequential Monte Carlo (SMC) method, the proposed channel estimation scheme tracks the support by drawing the samples from a posteriori distribution of the support indices while capturing the dynamics of time-varying amplitude using Kalman filter. Our simulation results show that the proposed algorithm yields significantly better tracking performance than the existing compressed sensing schemes.",

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AU - Shim, Byonghyo

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N2 - In this paper, we propose a new recursive sparse channel recovery algorithm which can track time-varying support of angular domain channel response vector in mobility scenario for millimeter wave-band communications. We model the angle of departure (AoD) and the angle of arrival (AoA) using discrete state Markov random process and derive joint estimation of the time-varying support and amplitude of the angular domain channel vector. Using sequential Monte Carlo (SMC) method, the proposed channel estimation scheme tracks the support by drawing the samples from a posteriori distribution of the support indices while capturing the dynamics of time-varying amplitude using Kalman filter. Our simulation results show that the proposed algorithm yields significantly better tracking performance than the existing compressed sensing schemes.

AB - In this paper, we propose a new recursive sparse channel recovery algorithm which can track time-varying support of angular domain channel response vector in mobility scenario for millimeter wave-band communications. We model the angle of departure (AoD) and the angle of arrival (AoA) using discrete state Markov random process and derive joint estimation of the time-varying support and amplitude of the angular domain channel vector. Using sequential Monte Carlo (SMC) method, the proposed channel estimation scheme tracks the support by drawing the samples from a posteriori distribution of the support indices while capturing the dynamics of time-varying amplitude using Kalman filter. Our simulation results show that the proposed algorithm yields significantly better tracking performance than the existing compressed sensing schemes.

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Sampling-based tracking of time-varying channels for millimeter wave-band communications

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