A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems

Jianshu Zhang; Martin Haardt; Ilya Soloveychik; Ami Wiesel

doi:10.1109/SAM.2016.7569693

A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems

Jianshu Zhang, Martin Haardt, Ilya Soloveychik, Ami Wiesel

The Rachel and Selim Benin School of Engineering and Computer Science

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

25 Scopus citations

Abstract

In this paper we study the downlink of a hybrid analog-digital massive multi-user MIMO (MU-MIMO) system. An efficient hybrid strategy is proposed, where the analog beamforming matrices are determined using a channel matching criterion while the digital beamforming consists of pre-filters and post-filters. The digital post-filters are computed using traditional linear MU-MIMO strategies together with water-filling based power allocation using the effective channels. Simulation results show that the proposed hybrid analog-digital solutions achieve a good performance compared to their corresponding unconstrained digital solutions.

Original language	English
Title of host publication	2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
Publisher	IEEE Computer Society
ISBN (Electronic)	9781509021031
DOIs	https://doi.org/10.1109/SAM.2016.7569693
State	Published - 15 Sep 2016
Event	2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 - Rio de Rio de Janeiro, Brazil Duration: 10 Jul 2016 → 13 Jul 2016

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume	2016-September
ISSN (Electronic)	2151-870X

Conference

Conference	2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
Country/Territory	Brazil
City	Rio de Rio de Janeiro
Period	10/07/16 → 13/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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10.1109/SAM.2016.7569693

Cite this

Zhang, J., Haardt, M., Soloveychik, I., & Wiesel, A. (2016). A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 Article 7569693 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2016-September). IEEE Computer Society. https://doi.org/10.1109/SAM.2016.7569693

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title = "A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems",

abstract = "In this paper we study the downlink of a hybrid analog-digital massive multi-user MIMO (MU-MIMO) system. An efficient hybrid strategy is proposed, where the analog beamforming matrices are determined using a channel matching criterion while the digital beamforming consists of pre-filters and post-filters. The digital post-filters are computed using traditional linear MU-MIMO strategies together with water-filling based power allocation using the effective channels. Simulation results show that the proposed hybrid analog-digital solutions achieve a good performance compared to their corresponding unconstrained digital solutions.",

author = "Jianshu Zhang and Martin Haardt and Ilya Soloveychik and Ami Wiesel",

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Zhang, J, Haardt, M, Soloveychik, I & Wiesel, A 2016, A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. in 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016., 7569693, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, vol. 2016-September, IEEE Computer Society, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016, Rio de Rio de Janeiro, Brazil, 10/07/16. https://doi.org/10.1109/SAM.2016.7569693

A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. / Zhang, Jianshu; Haardt, Martin; Soloveychik, Ilya et al.
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016. IEEE Computer Society, 2016. 7569693 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; Vol. 2016-September).

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

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AB - In this paper we study the downlink of a hybrid analog-digital massive multi-user MIMO (MU-MIMO) system. An efficient hybrid strategy is proposed, where the analog beamforming matrices are determined using a channel matching criterion while the digital beamforming consists of pre-filters and post-filters. The digital post-filters are computed using traditional linear MU-MIMO strategies together with water-filling based power allocation using the effective channels. Simulation results show that the proposed hybrid analog-digital solutions achieve a good performance compared to their corresponding unconstrained digital solutions.

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Zhang J, Haardt M, Soloveychik I, Wiesel A. A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems. In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016. IEEE Computer Society. 2016. 7569693. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop). doi: 10.1109/SAM.2016.7569693

A channel matching based hybrid analog-digital strategy for massive multi-user MIMO downlink systems

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