Tracking abruptly changing channels in mmWave systems using overlaid data and training

Karthik Upadhya; Robert W. Heath Jr.; Sergiy Vorobyov

doi:10.1109/CAMSAP.2017.8313188

Tracking abruptly changing channels in mmWave systems using overlaid data and training

Karthik Upadhya
, Robert W. Heath Jr.
, Sergiy Vorobyov

Sergiy Vorobyov Group

University of Texas at Austin

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) links are sensitive to abrupt changes in the channel due to blockage and node mobility. We propose to estimate the channel by overlaying pilot and data transmissions. The data transmission is performed over the signal subspace of the channel matrix, while the training, for estimating the parameters of newly appearing paths, is performed over the null-space of the channel matrix. A sparse Bayesian learning-based approach is employed for jointly estimating the channel and data at the receiver. Simulations are used to validate the performance of the proposed method in abruptly changing channel scenarios.

Original language	English
Title of host publication	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017)
Publisher	IEEE
Number of pages	5
ISBN (Print)	978-1-5386-1251-4
DOIs	https://doi.org/10.1109/CAMSAP.2017.8313188
Publication status	Published - 2017
MoE publication type	A4 Conference publication
Event	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Caracao, Dutch Antilles, Caracao, Netherlands Duration: 10 Dec 2017 → 13 Dec 2017 Conference number: 7 http://www.cs.huji.ac.il/conferences/CAMSAP17/

Workshop

Workshop	IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated title	CAMSAP
Country/Territory	Netherlands
City	Caracao
Period	10/12/2017 → 13/12/2017
Internet address	http://www.cs.huji.ac.il/conferences/CAMSAP17/

Access to Document

10.1109/CAMSAP.2017.8313188

Cite this

@inproceedings{dc84d68b6cc04c299c103e5b7cde79c0,

title = "Tracking abruptly changing channels in mmWave systems using overlaid data and training",

abstract = "Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) links are sensitive to abrupt changes in the channel due to blockage and node mobility. We propose to estimate the channel by overlaying pilot and data transmissions. The data transmission is performed over the signal subspace of the channel matrix, while the training, for estimating the parameters of newly appearing paths, is performed over the null-space of the channel matrix. A sparse Bayesian learning-based approach is employed for jointly estimating the channel and data at the receiver. Simulations are used to validate the performance of the proposed method in abruptly changing channel scenarios.",

author = "Karthik Upadhya and \{Heath Jr.\}, \{Robert W.\} and Sergiy Vorobyov",

year = "2017",

doi = "10.1109/CAMSAP.2017.8313188",

language = "English",

isbn = "978-1-5386-1251-4",

booktitle = "IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017)",

publisher = "IEEE",

address = "United States",

note = "IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing , CAMSAP ; Conference date: 10-12-2017 Through 13-12-2017",

url = "http://www.cs.huji.ac.il/conferences/CAMSAP17/",

}

Upadhya, K, Heath Jr., RW & Vorobyov, S 2017, Tracking abruptly changing channels in mmWave systems using overlaid data and training. in IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017). IEEE, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing , Caracao, Netherlands, 10/12/2017. https://doi.org/10.1109/CAMSAP.2017.8313188

Tracking abruptly changing channels in mmWave systems using overlaid data and training. / Upadhya, Karthik; Heath Jr., Robert W.; Vorobyov, Sergiy.
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017). IEEE, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Tracking abruptly changing channels in mmWave systems using overlaid data and training

AU - Upadhya, Karthik

AU - Heath Jr., Robert W.

AU - Vorobyov, Sergiy

N1 - Conference code: 7

PY - 2017

Y1 - 2017

N2 - Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) links are sensitive to abrupt changes in the channel due to blockage and node mobility. We propose to estimate the channel by overlaying pilot and data transmissions. The data transmission is performed over the signal subspace of the channel matrix, while the training, for estimating the parameters of newly appearing paths, is performed over the null-space of the channel matrix. A sparse Bayesian learning-based approach is employed for jointly estimating the channel and data at the receiver. Simulations are used to validate the performance of the proposed method in abruptly changing channel scenarios.

AB - Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) links are sensitive to abrupt changes in the channel due to blockage and node mobility. We propose to estimate the channel by overlaying pilot and data transmissions. The data transmission is performed over the signal subspace of the channel matrix, while the training, for estimating the parameters of newly appearing paths, is performed over the null-space of the channel matrix. A sparse Bayesian learning-based approach is employed for jointly estimating the channel and data at the receiver. Simulations are used to validate the performance of the proposed method in abruptly changing channel scenarios.

U2 - 10.1109/CAMSAP.2017.8313188

DO - 10.1109/CAMSAP.2017.8313188

M3 - Conference article in proceedings

SN - 978-1-5386-1251-4

BT - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017)

PB - IEEE

T2 - IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing

Y2 - 10 December 2017 through 13 December 2017

ER -

Tracking abruptly changing channels in mmWave systems using overlaid data and training

Abstract

Workshop

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