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

Jianshu Zhang, Martin Haardt, Ilya Soloveychik, Ami Wiesel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageAmerican English
Title of host publication2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781509021031
DOIs
StatePublished - 15 Sep 2016
Event2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016 - Rio de Rio de Janeiro, Brazil
Duration: 10 Jul 201613 Jul 2016

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
Volume2016-September
ISSN (Electronic)2151-870X

Conference

Conference2016 IEEE Sensor Array and Multichannel Signal Processing Workshop, SAM 2016
Country/TerritoryBrazil
CityRio de Rio de Janeiro
Period10/07/1613/07/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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