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Sensing Performance Analysis in Cooperative Air-Ground ISAC Networks for LAE

  • Yihang Jiang*
  • , Xiaoyang Li
  • , Guangxu Zhu
  • , Xiaowen Cao
  • , Kaifeng Han
  • , Bingpeng Zhou
  • , Xinyi Wang
  • *Corresponding author for this work
  • The Chinese University of Hong Kong, Shenzhen
  • Southern University of Science and Technology
  • Shenzhen University
  • China Academy of Information and Communication Technology
  • Sun Yat-Sen University

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

Abstract

To support the development of low altitude economy, the air-ground integrated sensing and communication (ISAC) networks need to be constructed to provide reliable and robust communication and sensing services. In this paper, the sensing capabilities in the cooperative air-ground ISAC networks are evaluated in terms of area radar detection coverage probability under a constant false alarm rate, where the distribution of aggregated sensing interferences is analyzed as a key intermediate result. Compared with the analysis based on the strongest interferer approximation, taking the aggregated sensing interference into consideration is better suited for pico-cell scenarios with high base station density. Simulations are conducted to validate the analysis.

Original languageEnglish
Title of host publicationICC 2026 - IEEE International Conference on Communications, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798319542090
DOIs
Publication statusPublished - 2026
Event2026 IEEE International Conference on Communications, ICC 2026 - Glasgow, United Kingdom
Duration: 24 May 202628 May 2026

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2026 IEEE International Conference on Communications, ICC 2026
Country/TerritoryUnited Kingdom
CityGlasgow
Period24/05/2628/05/26

Keywords

  • Integrated sensing and communication
  • low altitude economy
  • network modeling
  • performance analysis
  • stochastic geometry

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