A Rate Splitting Strategy for Massive MIMO with Imperfect CSIT

Mingbo Dai, Bruno Clerckx, David Gesbert, Giuseppe Caire

Research output: Contribution to journalArticlepeer-review

154 Citations (Scopus)


In a multiuser MIMO broadcast channel, the rate performance is affected by multiuser interference when the channel state information at the transmitter (CSIT) is imperfect. To tackle the detrimental effects of the multiuser interference, a rate-splitting (RS) approach has been proposed recently, which splits one selected user's message into a common and a private part, and superimposes the common message on top of the private messages. The common message is drawn from a public codebook and decoded by all users. In this paper, we generalize the idea of RS into the large-scale array regime with imperfect CSIT. By further exploiting the channel second-order statistics, we propose a novel and general framework hierarchical-rate-splitting (HRS) that is particularly suited to massive MIMO systems. HRS simultaneously transmits private messages intended to each user and two kinds of common messages that are decoded by all users and by a subset of users, respectively. We analyze the asymptotic sum rate of RS and HRS and optimize the precoders of the common messages. A closed-form power allocation is derived which provides insights into the effects of various system parameters. Finally, numerical results validate the significant sum rate gain of RS and HRS over various baselines.

Original languageEnglish
Article number7434643
Pages (from-to)4611-4624
Number of pages14
JournalIEEE Transactions on Wireless Communications
Issue number7
Publication statusPublished - 2016 Jul

Bibliographical note

Funding Information:
This work was supported in part by the Seventh Framework Programme for Research of the European Commission under Grant HARP-318489 and in part by the EPSRC of the U.K. under Grant EP/N015312/1.

Publisher Copyright:
© 2016 IEEE.


  • Imperfect CSIT
  • Massive MIMO
  • Rate Splitting

ASJC Scopus subject areas

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


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