A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment

Xingjian Li; Jun Fang; Huiping Duan; Hongbin Li

doi:10.1109/ICASSP.2019.8682482

A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment

Xingjian Li, Jun Fang, Huiping Duan, Hongbin Li

University of Electronic Science and Technology of China

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

Abstract

The problem of beam alignment for millimeter wave (mm-Wave) communications is studied in this paper. We show that, by exploiting the sparse scattering nature of mmWave channels, the beam alignment problem can be formulated as a sparse encoding and phaseless decoding problem, which involves finding a sparse sensing matrix and an efficient recovery algorithm to recover the support and magnitude of the s-parse signal from compressive phaseless measurements. We develop a general function-Code (GF-Code) algorithm for s-parse encoding and phaseless decoding. Simulation results are provided to corroborate the effectiveness of the proposed GF-Code method.

Original language	English
Title of host publication	2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Pages	4714-4718
Number of pages	5
ISBN (Electronic)	9781479981311
DOIs	https://doi.org/10.1109/ICASSP.2019.8682482
State	Published - May 2019
Event	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom Duration: 12 May 2019 → 17 May 2019

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2019-May
ISSN (Print)	1520-6149

Conference

Conference	44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/Territory	United Kingdom
City	Brighton
Period	12/05/19 → 17/05/19

Keywords

beam alignment
mmWave communications
sparse encoding and phaseless decoding

Access to Document

10.1109/ICASSP.2019.8682482

Cite this

Li, X., Fang, J., Duan, H., & Li, H. (2019). A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (pp. 4714-4718). Article 8682482 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May). https://doi.org/10.1109/ICASSP.2019.8682482

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title = "A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment",

abstract = "The problem of beam alignment for millimeter wave (mm-Wave) communications is studied in this paper. We show that, by exploiting the sparse scattering nature of mmWave channels, the beam alignment problem can be formulated as a sparse encoding and phaseless decoding problem, which involves finding a sparse sensing matrix and an efficient recovery algorithm to recover the support and magnitude of the s-parse signal from compressive phaseless measurements. We develop a general function-Code (GF-Code) algorithm for s-parse encoding and phaseless decoding. Simulation results are provided to corroborate the effectiveness of the proposed GF-Code method.",

keywords = "beam alignment, mmWave communications, sparse encoding and phaseless decoding",

author = "Xingjian Li and Jun Fang and Huiping Duan and Hongbin Li",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 ; Conference date: 12-05-2019 Through 17-05-2019",

year = "2019",

month = may,

doi = "10.1109/ICASSP.2019.8682482",

language = "English",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

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Li, X, Fang, J, Duan, H & Li, H 2019, A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment. in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings., 8682482, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2019-May, pp. 4714-4718, 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton, United Kingdom, 12/05/19. https://doi.org/10.1109/ICASSP.2019.8682482

A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment. / Li, Xingjian; Fang, Jun; Duan, Huiping et al.
2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. 2019. p. 4714-4718 8682482 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2019-May).

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

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AB - The problem of beam alignment for millimeter wave (mm-Wave) communications is studied in this paper. We show that, by exploiting the sparse scattering nature of mmWave channels, the beam alignment problem can be formulated as a sparse encoding and phaseless decoding problem, which involves finding a sparse sensing matrix and an efficient recovery algorithm to recover the support and magnitude of the s-parse signal from compressive phaseless measurements. We develop a general function-Code (GF-Code) algorithm for s-parse encoding and phaseless decoding. Simulation results are provided to corroborate the effectiveness of the proposed GF-Code method.

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Li X, Fang J, Duan H, Li H. A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. 2019. p. 4714-4718. 8682482. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2019.8682482

A Sparse Encoding and Phaseless Decoding Approach for Fast Mmwave Beam Alignment

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