Mean square error (MSE) based hybrid analog and digital combining for systems with large receive antenna arrays

Ming-Chun Lee, Wei Ho Chung

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work we investigate the hybrid analog and digital combining applicable to both multi-user single-input multiple-output (SIMO) and single user multiple-input multiple-output (MIMO) systems via modeling equivalence. We consider the mean square error (MSE) of the estimated signal after the combiner, and indicate that the optimal MSE can be expressed as the function of the analog combining matrix. Then by exploiting the proposed MSE decomposition, we propose two hybrid combiner designs which are able to optimize the analog combining matrix with low complexity. We evaluate the proposed designs using simulations. Results show that the proposed designs can provide near-optimal performance and outperform the existing designs in MSE, sum-rate, or complexity.

Original languageEnglish
Title of host publication18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509030088
DOIs
StatePublished - 3 Jul 2017
Event18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017 - Sapporo, Japan
Duration: 3 Jul 20176 Jul 2017

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2017-July

Conference

Conference18th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2017
Country/TerritoryJapan
CitySapporo
Period3/07/176/07/17

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