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Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array

Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array
Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array

Beamspace channel estimation is essential for wideband millimeter-wave (mmWave) MIMO with lens antenna array to achieve substantial increase in data rates with considerably reduced number of radio-frequency chains. However, most of existing beamspace channel estimation schemes are designed for narrowband mmWave systems, while rather scarce wideband schemes ideally assume beamspace channel enjoys the common support in frequency-domain. In this paper, inspired by the classical successive interference cancellation for multi-user detection, we propose an efficient successive support detection (SSD) based scheme without the assumption of common support. Specifically, we first demonstrate that each path component of the wideband beamspace channel exhibits a unique frequency-varying sparse structure. Based on this, we then successively estimate all sparse path components. For each path component, its supports at different frequencies are jointly estimated to improve the estimation accuracy, and then its influence is removed to estimate the remained path components. Once all path components have been estimated, the wideband beamspace channel can be recovered at a low complexity. Simulation results verify that the proposed SSD based beamspace channel estimation scheme achieves higher accuracy than existing wideband schemes.

Institute of Electrical and Electronics Engineers Inc.
Gao, Xinyu
49d41125-a198-493e-b310-8513c9e31607
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Zhou, Shidong
d5e0defe-258f-4d1a-982d-819c3ef59c02
Sayeed, Akbar M.
7562530e-b1e2-4afe-b801-2d8d865c9480
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Gao, Xinyu
49d41125-a198-493e-b310-8513c9e31607
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Zhou, Shidong
d5e0defe-258f-4d1a-982d-819c3ef59c02
Sayeed, Akbar M.
7562530e-b1e2-4afe-b801-2d8d865c9480
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Gao, Xinyu, Dai, Linglong, Zhou, Shidong, Sayeed, Akbar M. and Hanzo, Lajos (2018) Beamspace channel estimation for wideband millimeter-wave MIMO with lens antenna array. In 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. vol. 2018-May, Institute of Electrical and Electronics Engineers Inc.. (doi:10.1109/ICC.2018.8422131).

Record type: Conference or Workshop Item (Paper)

Abstract

Beamspace channel estimation is essential for wideband millimeter-wave (mmWave) MIMO with lens antenna array to achieve substantial increase in data rates with considerably reduced number of radio-frequency chains. However, most of existing beamspace channel estimation schemes are designed for narrowband mmWave systems, while rather scarce wideband schemes ideally assume beamspace channel enjoys the common support in frequency-domain. In this paper, inspired by the classical successive interference cancellation for multi-user detection, we propose an efficient successive support detection (SSD) based scheme without the assumption of common support. Specifically, we first demonstrate that each path component of the wideband beamspace channel exhibits a unique frequency-varying sparse structure. Based on this, we then successively estimate all sparse path components. For each path component, its supports at different frequencies are jointly estimated to improve the estimation accuracy, and then its influence is removed to estimate the remained path components. Once all path components have been estimated, the wideband beamspace channel can be recovered at a low complexity. Simulation results verify that the proposed SSD based beamspace channel estimation scheme achieves higher accuracy than existing wideband schemes.

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More information

Published date: 27 July 2018
Venue - Dates: 2018 IEEE International Conference on Communications,, , Kansas City, United States, 2018-05-19 - 2018-05-23

Identifiers

Local EPrints ID: 423220
URI: http://eprints.soton.ac.uk/id/eprint/423220
PURE UUID: ce2bb424-eda8-46bc-9ea3-4fd642562c24
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 19 Sep 2018 16:30
Last modified: 28 Apr 2022 01:34

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Contributors

Author: Xinyu Gao
Author: Linglong Dai
Author: Shidong Zhou
Author: Akbar M. Sayeed
Author: Lajos Hanzo ORCID iD

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