Multiuser millimeter wave beamforming strategies with quantized and statistical CSIT

Mingbo Dai, Bruno Clerckx

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

To alleviate the high cost of hardware in mm-wave systems, hybrid analog/digital precoding is typically employed. In the conventional two-stage feedback scheme, the analog beamformer is determined by beam search and feedback to maximize the desired signal power of each user. The digital precoder is designed based on quantization and feedback of effective channel to mitigate multiuser interference. Alternatively, we propose a one-stage feedback scheme, which effectively reduces the complexity of the signalling and feedback procedure. Specifically, the second-order channel statistics are leveraged to design digital precoder for interference mitigation while all feedback overhead is reserved for precise analog beamforming. Under a fixed total feedback constraint, we investigate the conditions under which the one-stage feedback scheme outperforms the conventional two-stage counterpart. Moreover, a rate splitting (RS) transmission strategy is introduced to further tackle the multiuser interference and enhance the rate performance. Consider: 1) RS precoded by the one-stage feedback scheme and 2) conventional transmission strategy precoded by the two-stage scheme with the same first-stage feedback as 1) and also certain amount of extra second-stage feedback. We show that 1) can achieve a sum rate comparable to that of 2). Hence, RS enables remarkable saving in the second-stage training and feedback overhead.

Original languageEnglish
Article number2737009
Pages (from-to)7025-7038
Number of pages14
JournalIEEE Transactions on Wireless Communications
Volume16
Issue number11
DOIs
Publication statusPublished - 2017 Nov

Keywords

  • Hybrid precoding
  • Limited feedback
  • Mm-wave systems
  • Rate splitting
  • Statistical CSIT

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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