Robust Precoding for FDD MISO Systems via Minorization Maximization

Donia Ben Amor, Michael Joham, Wolfgang Utschick

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

Abstract

In this work, we propose an approach to robust precoder design based on a minorization maximization technique that optimizes a surrogate function of the achievable spectral efficiency. The presented method accounts for channel estimation errors during the optimization process and is, hence, robust in the case of imperfect channel state information (CSI). Additionally, the design method is adapted such that the need for a line search to satisfy the power constraint is eliminated, that significantly accelerates the precoder computation. Simulation results demonstrate that the proposed robust precoding method is competitive with weighted minimum mean square error (WMMSE) precoding, in particular, under imperfect CSI scenarios.

Original languageEnglish
Title of host publication2024 IEEE 100th Vehicular Technology Conference, VTC 2024-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331517786
DOIs
StatePublished - 2024
Event100th IEEE Vehicular Technology Conference, VTC 2024-Fall - Washington, United States
Duration: 7 Oct 202410 Oct 2024

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference100th IEEE Vehicular Technology Conference, VTC 2024-Fall
Country/TerritoryUnited States
CityWashington
Period7/10/2410/10/24

Keywords

  • Downlink
  • FDD
  • Imperfect CSI
  • Linear Precoding
  • MIMO
  • Minorization Maximization

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