Joint Transmit and Reflecting Beamforming Design in IRS-Assisted mmWave MU-MISO Systems with ZF-Assisted SA Algorithm

Cheng Chih Chao, Nien Chi Hung, Jung Chieh Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We investigate the use of intelligent reflecting surfaces (IRSs) to mitigate blockage caused by signal attenuation in millimeter-wave massive multiuser multiple-input single-output wireless systems. This involves jointly designing transmit beamforming at the base station and reflecting beamforming at the IRS. Our proposed solution combines zero-forcing (ZF)-based transmit beamforming with a simulated annealing (SA) algorithm for reflecting beamforming design. We assess the performance of our algorithm by comparing it with two existing approaches, and the results demonstrate that optimizing IRS phase shifts significantly enhances spectral efficiency. Our ZF-assisted SA algorithm outperforms other methods, confirming its effectiveness.

Original languageEnglish
Title of host publicationProceedings - 2023 6th International Symposium on Computer, Consumer and Control, IS3C 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages312-313
Number of pages2
ISBN (Electronic)9798350301953
DOIs
Publication statusPublished - 2023
Event6th International Symposium on Computer, Consumer and Control, IS3C 2023 - Taichung City, Taiwan
Duration: 2023 Jun 302023 Jul 3

Publication series

NameProceedings - 2023 6th International Symposium on Computer, Consumer and Control, IS3C 2023

Conference

Conference6th International Symposium on Computer, Consumer and Control, IS3C 2023
Country/TerritoryTaiwan
CityTaichung City
Period23-06-3023-07-03

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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