Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

Min Keun Chung; Liang Liu; Andreas Johansson; Martin Nilsson; Olof Zander; Zhinong Ying; Fredrik Tufvesson; Ove Edfors

doi:10.1109/IEEECONF51394.2020.9443518

Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

Min Keun Chung, Liang Liu, Andreas Johansson, Martin Nilsson, Olof Zander, Zhinong Ying, Fredrik Tufvesson, Ove Edfors

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

3 Citations (Scopus)

Abstract

Massive multiple-input multiple-out (MIMO) technology is vital in millimeter-wave (mmWave) bands to obtain large array gains. However, there are practical challenges, such as high hardware cost and power consumption in such systems. A promising solution to these problems is to adopt a hybrid beamforming architecture. This architecture has a much lower number of transceiver (TRx) chains than the total antenna number, resulting in cost- and energy-efficient systems. In this paper, we present a real-time mmWave (28GHz) massive MIMO testbed with hybrid beamforming. This testbed has a 64-antenna/16-TRx unit for beam-selection, which can be expanded to larger array sizes in a modular way. For testing everything from baseband processing algorithms to scheduling and beam-selection in real propagation environments, we extend the capability of an existing 100-antenna/100-TRx massive MIMO testbed (below 6GHz), built upon software-defined radio technology, to a flexible mmWave massive MIMO system.

Original language	English
Title of host publication	Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Editors	Michael B. Matthews
Number of pages	5
Publisher	IEEE Computer Society Press
Publication date	1 Nov 2020
Pages	309-313
Article number	9443518
ISBN (Electronic)	9780738131269
DOIs	https://doi.org/10.1109/IEEECONF51394.2020.9443518
Publication status	Published - 1 Nov 2020
Externally published	Yes
Event	54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 - Pacific Grove, United States Duration: 1 Nov 2020 → 5 Nov 2020

Conference

Conference	54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
Country/Territory	United States
City	Pacific Grove
Period	01/11/2020 → 05/11/2020

Series	Conference Record - Asilomar Conference on Signals, Systems and Computers
Volume	2020-November
ISSN	1058-6393

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Beam-selection
beamforming
massive multipleinput multiple-out (MIMO)
millimeter-wave (mmWave)
testbed

Access to Document

10.1109/IEEECONF51394.2020.9443518

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Cite this

Chung, M. K., Liu, L., Johansson, A., Nilsson, M., Zander, O., Ying, Z., Tufvesson, F., & Edfors, O. (2020). Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. In M. B. Matthews (Ed.), Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020 (pp. 309-313). Article 9443518 IEEE Computer Society Press. https://doi.org/10.1109/IEEECONF51394.2020.9443518

Chung, Min Keun ; Liu, Liang ; Johansson, Andreas et al. / Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. editor / Michael B. Matthews. IEEE Computer Society Press, 2020. pp. 309-313 (Conference Record - Asilomar Conference on Signals, Systems and Computers, Vol. 2020-November).

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abstract = "Massive multiple-input multiple-out (MIMO) technology is vital in millimeter-wave (mmWave) bands to obtain large array gains. However, there are practical challenges, such as high hardware cost and power consumption in such systems. A promising solution to these problems is to adopt a hybrid beamforming architecture. This architecture has a much lower number of transceiver (TRx) chains than the total antenna number, resulting in cost- and energy-efficient systems. In this paper, we present a real-time mmWave (28GHz) massive MIMO testbed with hybrid beamforming. This testbed has a 64-antenna/16-TRx unit for beam-selection, which can be expanded to larger array sizes in a modular way. For testing everything from baseband processing algorithms to scheduling and beam-selection in real propagation environments, we extend the capability of an existing 100-antenna/100-TRx massive MIMO testbed (below 6GHz), built upon software-defined radio technology, to a flexible mmWave massive MIMO system.",

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Chung, MK, Liu, L, Johansson, A, Nilsson, M, Zander, O, Ying, Z, Tufvesson, F & Edfors, O 2020, Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. in MB Matthews (ed.), Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020., 9443518, IEEE Computer Society Press, Conference Record - Asilomar Conference on Signals, Systems and Computers, vol. 2020-November, pp. 309-313, 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020, Pacific Grove, United States, 01/11/2020. https://doi.org/10.1109/IEEECONF51394.2020.9443518

Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. / Chung, Min Keun; Liu, Liang; Johansson, Andreas et al.
Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. ed. / Michael B. Matthews. IEEE Computer Society Press, 2020. p. 309-313 9443518 (Conference Record - Asilomar Conference on Signals, Systems and Computers, Vol. 2020-November).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

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AU - Edfors, Ove

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Chung MK, Liu L, Johansson A, Nilsson M, Zander O, Ying Z et al. Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming. In Matthews MB, editor, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. IEEE Computer Society Press. 2020. p. 309-313. 9443518. (Conference Record - Asilomar Conference on Signals, Systems and Computers, Vol. 2020-November). doi: 10.1109/IEEECONF51394.2020.9443518

Millimeter-Wave Massive MIMO Testbed with Hybrid Beamforming

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Keywords

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