A Low Complexity Rate-Splitting Bilinear Precoder for Massive MIMO

Marc Bjelkanovic, Donia Ben Amor, Michael Joham, Wolfgang Utschick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Realistic massive multiple-input multiple-output (MIMO) systems suffer from incomplete channel state information (CSI) and pilot contamination, due to the dimensionality bottleneck mainly caused by the short channel coherence interval. Recently, rate splitting was proposed as a powerful tool to enhance the system performance in the case of imperfect CSI. In this paper we consider a multi-user massive MIMO broadcast system operating in FDD mode and develop a bilinear precoder combined with rate splitting. To circumvent the high computational complexity introduced by the rate splitting approach, we furthermore develop a low complexity rate splitting algorithm. Finally, we also validate the superiority of the proposed methods over the approach without rate splitting and another recently developed algorithm.

Original languageEnglish
Title of host publicationWSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding
PublisherVDE VERLAG GMBH
Pages107-112
Number of pages6
ISBN (Electronic)9783800760510
StatePublished - 2023
Event26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and Coding, SCC 2023 - Braunschweig, Germany
Duration: 27 Feb 20233 Mar 2023

Publication series

NameWSA and SCC 2023 - 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding

Conference

Conference26th International ITG Workshop on Smart Antennas, WSA 2023 and 13th Conference on Systems, Communications, and Coding, SCC 2023
Country/TerritoryGermany
CityBraunschweig
Period27/02/233/03/23

Keywords

  • FDD
  • Massive MIMO
  • Precoding
  • Rate Splitting
  • statistical CSI

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