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 journalArticlepeer-review

80 Citations (Scopus)


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
Issue number12
Publication statusPublished - 2015 Dec 1

Bibliographical note

Funding Information:
This work was supported by the National Key Basic Research Program of China (Grant No. 2013CB329203), the National Natural Science Foundation of China (Grant Nos. 61571270 and 61201185), the Beijing Natural Science Foundation (Grant No. 4142027), and the Foundation of Shenzhen government.

Publisher Copyright:
© 2015 IEEE.


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

ASJC Scopus subject areas

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


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