A Dynamic Transmission Strategy for ISAC in Large Networks

Konpal Shaukat Ali, Marwa Chafii

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

Abstract

A large network employing integrated sensing and communication (ISAC) where a single transmit signal by the base station serves both the radar and communication modes is studied. The radar-mode uses bistatic detection at a passive radar. Radar-mode performance, in general, is significantly more vulnerable than the communication-mode due to the double path loss in the signal component while interferers have direct links. To combat this, we propose a novel dynamic transmission strategy (DTS) where the quantity of radar-mode detection is traded for quality. We analyze the performance both the radar and communication modes with and without DTS and benchmark it with a traditional radar-only network. Our results highlight that with DTS we are able to significantly improve quality of radar detection at the cost of quantity. Further, DTS causes some performance deterioration to the communication-mode due to increased interference; however, the radar-mode gains attained are much higher. We show that dense deployment of low-cost passive radars offers superior detection for farther off targets, particularly compared to a radar-only network. With DTS, ISAC can further improve radar gains from its traditional counterpart.

Original languageEnglish (US)
Title of host publicationGLOBECOM 2023 - 2023 IEEE Global Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4576-4582
Number of pages7
ISBN (Electronic)9798350310900
DOIs
StatePublished - 2023
Event2023 IEEE Global Communications Conference, GLOBECOM 2023 - Kuala Lumpur, Malaysia
Duration: Dec 4 2023Dec 8 2023

Publication series

NameProceedings - IEEE Global Communications Conference, GLOBECOM
ISSN (Print)2334-0983
ISSN (Electronic)2576-6813

Conference

Conference2023 IEEE Global Communications Conference, GLOBECOM 2023
Country/TerritoryMalaysia
CityKuala Lumpur
Period12/4/2312/8/23

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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