An Efficient Rate Splitting Precoding Approach in Multi-User MISO FDD Systems

Donia Ben Amor, Michael Joham, Wolfgang Utschick

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

Abstract

In this work, we develop an efficient precoding strategy for a multi-user multiple-input-single output (MU MISO) system operating in frequency-division-duplex (FDD) mode, where rate splitting multiple access (RSMA) is implemented. To this end, we consider one-layer RS and show its significant impact on the system performance, specifically in the case where the channel state information (CSI) is incomplete at the transmitter. Based on a lower bound on the achievable rate that takes into account the CSI errors, we establish an augmented weighted average mean squared error (AWAMSE) algorithm for the RS setup denoted by AWAMSE-RS, where even the updates for the common and the private precoders are computed via analytical expressions, hence circumventing the need for interior-point methods. Simulation results validate the efficiency of our approach in terms of computational time and its competitiveness in terms of the achievable system throughput compared to state-of-the-art methods and non-RS setups.

Original languageEnglish
Title of host publication2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024
EditorsMatthew Valenti, David Reed, Melissa Torres
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1852-1857
Number of pages6
ISBN (Electronic)9798350304053
DOIs
StatePublished - 2024
Event59th Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024 - Denver, United States
Duration: 9 Jun 202413 Jun 2024

Publication series

Name2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024

Conference

Conference59th Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024
Country/TerritoryUnited States
CityDenver
Period9/06/2413/06/24

Keywords

  • FDD
  • MU MISO
  • Rate splitting
  • augmented weighted average MSE
  • downlink
  • efficient precoding

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