Compressed CSI acquisition in FDD massive MIMO with partial support information

Juei Chin Shen, Jun Zhang, Emad Alsusa, Khaled B. Letaief

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

Massive MIMO is a promising technique to provide unprecedented spectral efficiency. However, it has been well recognized that huge training overhead for obtaining channel side information (CSI) is a major handicap in frequency-division duplexing (FDD) massive MIMO. Several attempts have been made to reduce this training overhead by exploiting sparse structures of massive MIMO channels. So far, however, there has been little discussion about how to utilize partial support information of sparse channels to achieve further overhead reduction. This support information, which is a set of indexes of significant elements of a channel vector, actually can be acquired in advance. In this paper, we examine the required training overhead when partial support information is applied within a weighted ℓ1 minimization framework and analytically show that a sharp estimate of this overhead size can be successfully obtained. Furthermore, we demonstrate that the accuracy of partial support information plays an important role in determining how much reduction can be achieved. Numerical results shall verify the main conclusions.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communications, ICC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1459-1464
Number of pages6
ISBN (Electronic)9781467364324
DOIs
Publication statusPublished - 9 Sep 2015
Externally publishedYes
EventIEEE International Conference on Communications, ICC 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Publication series

NameIEEE International Conference on Communications
Volume2015-September
ISSN (Print)1550-3607

Conference

ConferenceIEEE International Conference on Communications, ICC 2015
CountryUnited Kingdom
CityLondon
Period8/06/1512/06/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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