Sparse Activity Detection in Intelligent Reflecting Surface Assisted Wireless Networks

Mangqing Guo, M. Cenk Gursoy

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

Abstract

The sparse activity detection in intelligent reflecting surface (IRS) assisted wireless networks is investigated in this paper. With generalized approximate message passing (GAMP) algorithm, we first obtain the minimum mean square error (MMSE) estimates of the equivalent effective channel coefficients from the base station (BS) to the users, and convert the received pilot signals into additive Gaussian noise corrupted versions of the equivalent effective channel coefficients. Subsequently, multiple decisions on the activity of each user are made using the likelihood ratio test based on the Gaussian noise corrupted equivalent effective channel coefficients. At last, final decisions on the activity of all users are made with the optimal fusion rule, taking into account the previous decisions on the activity of each user and the corresponding reliabilities. Numerical results show that the average error probability of the sparse activity detection method proposed in this paper diminishes as the SNR, number of pilots, number of antennas at the BS or number of elements at the IRS increases.

Original languageEnglish (US)
Title of host publication2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages543-548
Number of pages6
ISBN (Electronic)9781728175867
DOIs
StatePublished - Sep 13 2021
Event32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021 - Virtual, Helsinki, Finland
Duration: Sep 13 2021Sep 16 2021

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2021-September

Conference

Conference32nd IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2021
Country/TerritoryFinland
CityVirtual, Helsinki
Period9/13/219/16/21

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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