This paper considers the sensing signal and interference analysis for cooperative integrated sensing and communication system in cellular networks. Networking schemes for the hexagon cellular networks are proposed based on the performance of sensing signal power and interference coordination level. To evaluate the distance estimation accuracy of the proposed networking scheme, a rotational invariant based sensing algorithm, i.e., ESPRIT, is applied in the simulation. Simulation results illustrates the high sensing accuracy of the proposed networking scheme for both car and unmanned aerial vehicle sensing.

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Performance Analysis and Networking for Cooperative Integrated Sensing and Communication Systems

  • Xiaozhou Zhang,
  • Rongyan Xi,
  • Jing Jin,
  • Qixing Wang,
  • Guangyi Liu

摘要

This paper considers the sensing signal and interference analysis for cooperative integrated sensing and communication system in cellular networks. Networking schemes for the hexagon cellular networks are proposed based on the performance of sensing signal power and interference coordination level. To evaluate the distance estimation accuracy of the proposed networking scheme, a rotational invariant based sensing algorithm, i.e., ESPRIT, is applied in the simulation. Simulation results illustrates the high sensing accuracy of the proposed networking scheme for both car and unmanned aerial vehicle sensing.