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Performance Analysis for Heterogeneous Air- Ground ISAC in Coordinated Multipoint Networks

  • Yihang Jiang
  • , Xiaoyang Li*
  • , Guangxu Zhu
  • , Changsheng You
  • , Xiaowen Cao
  • , Dingzhu Wen
  • , Bingpeng Zhou
  • , Xinyi Wang
  • , Rui Zhang
  • *Corresponding author for this work
  • South-Central University for Nationalities
  • Southern University of Science and Technology
  • The Chinese University of Hong Kong, Shenzhen
  • Shenzhen University
  • Guangdong Provincial Key Laboratory of Future Networks of Intelligence
  • ShanghaiTech University
  • Sun Yat-Sen University
  • Beijing Institute of Technology
  • National University of Singapore

Research output: Contribution to journalArticlepeer-review

Abstract

The emergence of the low-altitude economy (LAE) calls for highly integrated and reliable wireless systems that can simultaneously support communication and sensing (C&S) functions. Although integrated sensing and communication (ISAC) has been widely studied, most existing works focused on link-level or single-cell architectures in terrestrial environments, leaving the potential of network-level cooperative air-ground ISAC largely unexplored. To bridge this gap, a heterogeneous air-ground ISAC network architecture based on coordinated multipoint (CoMP) is proposed, which incorporates a cooperative hybrid mono/bi-static sensing scheme to enhance spatial diversity and sensing capability. In the proposed architecture, a two-tier base station (BS) deployment is adopted: master BSs are arranged in a hexagonal lattice, while slave BSs follow a Poisson point process distribution. This structure concurrently supports communication for terrestrial users and sensing for aerial targets. A holistic performance analysis framework for both C&S is further developed, accounting for key channel and network parameters. Simulation results reveal inherent trade-offs between C&S performance, especially under multi-BS cooperation and varying network density. These findings provide practical guidance for the deployment of scalable and efficient ISAC networks in LAE scenarios.

Original languageEnglish
JournalIEEE Journal on Selected Topics in Signal Processing
DOIs
Publication statusAccepted/In press - 2026
Externally publishedYes

Keywords

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

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