Order-Optimal Joint Transmission and Identification in Massive Multi-User MIMO via Group Testing

George Vershinin, Asaf Cohen, Omer Gurewitz

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

1 Scopus citations

Abstract

The number of wireless devices continues to grow, and more antennas per device are being added, increasing the challenge of efficient resource allocation, especially for uplink streams. To address this, we propose a novel massive multipleuser multiple-input-multiple-output (MU-MIMO) scheme based on Group Testing (GT) with non-cooperative self-scheduling users, reducing the required overhead and complexity. Specifically, we show that out of a population of N devices with M messages each, it is possible for the base station (BS) to jointly identify and decode up to K devices, unknown in advance, simultaneously and without any scheduling or channel state information. The BS efficiently decodes the transmissions with vanishing error probability using only O(K log NM) antennas, which implies order-optimal sum-rate.

Original languageEnglish
Title of host publication2023 IEEE International Symposium on Information Theory, ISIT 2023
PublisherInstitute of Electrical and Electronics Engineers
Pages1991-1996
Number of pages6
ISBN (Electronic)9781665475549
DOIs
StatePublished - 1 Jan 2023
Event2023 IEEE International Symposium on Information Theory, ISIT 2023 - Taipei, Taiwan, Province of China
Duration: 25 Jun 202330 Jun 2023

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2023-June
ISSN (Print)2157-8095

Conference

Conference2023 IEEE International Symposium on Information Theory, ISIT 2023
Country/TerritoryTaiwan, Province of China
CityTaipei
Period25/06/2330/06/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Information Systems
  • Modeling and Simulation
  • Applied Mathematics

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