Linear Precoding in the Intelligent Reflecting Surface Assisted MIMO Broadcast Channel

Dominik Semmler, Michael Joham, Wolfgang Utschick

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

6 Scopus citations

Abstract

We propose efficient algorithms to solve the sum-rate maximization in the Intelligent Reflecting Surface (IRS) assisted Multiple-Input Multiple-Output (MIMO) Downlink (DL) scenario. The recommended methods are based on Linear Successive Allocation (LISA), a well performing linear precoding algorithm for the traditional MIMO DL. Taking LISA as a basis, we can exploit its characteristic zero-forcing structure which allows to obtain a special form of alternating optimization. This special form enables a quick convergence and we observe a reduced iteration number together with a good performance of the proposed methods in the simulations.

Original languageEnglish
Title of host publication2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665494557
DOIs
StatePublished - 2022
Event23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022 - Oulu, Finland
Duration: 4 Jul 20226 Jul 2022

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2022-July

Conference

Conference23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022
Country/TerritoryFinland
CityOulu
Period4/07/226/07/22

Keywords

  • Downlink
  • IRS
  • LISA
  • Linear Precoding
  • MIMO
  • Zero-Forcing

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