Joint CSIT acquisition based on low-rank matrix completion for FDD massive MIMO systems

Wenqian Shen, Linglong Dai, Byonghyo Shim, Shahid Mumtaz, Zhaocheng Wang

Research output: Contribution to journalArticle

47 Citations (Scopus)

Abstract

Channel state information at the transmitter (CSIT) is essential for frequency-division duplexing (FDD) massive MIMO systems, but conventional solutions involve overwhelming overhead both for downlink channel training and uplink channel feedback. In this letter, we propose a joint CSIT acquisition scheme to reduce the overhead. Particularly, unlike conventional schemes where each user individually estimates its own channel and then feed it back to the base station (BS), we propose that all scheduled users directly feed back the pilot observation to the BS, and then joint CSIT recovery can be realized at the BS.We further formulate the joint CSIT recovery problem as a low-rank matrix completion problem by utilizing the low-rank property of the massive MIMO channelmatrix, which is caused by the correlation among users. Finally, we propose a hybrid low-rank matrix completion algorithm based on the singular value projection to solve this problem. Simulations demonstrate that the proposed scheme can provide accurate CSIT with lower overhead than conventional schemes.

Original languageEnglish
Article number7302003
Pages (from-to)2178-2181
Number of pages4
JournalIEEE Communications Letters
Volume19
Issue number12
DOIs
Publication statusPublished - 2015 Dec 1
Externally publishedYes

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Keywords

  • CSIT
  • FDD
  • Low-rank matrix completion
  • Massive MIMO

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modelling and Simulation

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