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| With the widespread adoption of massive MIMO, phased arrays, and millimeter waves technologies, the distinction between communication and sensing is gradually diminished. The anticipation for the next generation mobile communication is to integrate sensing capabilities into cellular networks while minimizing any potential interference to communication. Given that the performance metrics for evaluating communication and sensing have traditionally differed, there is a need for a unified metric for the peformance tradeoff within an integrated sensing and communication (ISAC) system. Furthermore, the dynamic and complex co-channel interference can severely constrain the performance of communication and sensing when deploying a large-scale ISAC system. Therefore, a mono-static ISAC system is designed based on the multi-cell network. Firstly, the location of base stations and user equipments in this system is modeled using a homogeneous Poisson point process. Each base station generates multiple beams, and the main lobe is scheduled to determine whether to perform sensing or communication during the downlink slot. Secondly, the sensing success probability is defined from the perspective of mutual information, serving as a unified metric for evaluating both communication and sensing performance along with the downlink communication coverage probability. By employing the methodology of stochastic geometry, theoretical expressions for both the sensing success probability and the downlink communication coverage probability are derived. Additionally, simplified forms of these metrics under limiting conditions are presented. Finally, Monte Carlo simulation results are provided to verify the correctness of the derived expressions and analyze the impact of the path loss exponent on the performance of communication and sensing. |
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| Keywords:integrated sensing and communication (ISAC), stochastic geometry, mono-static sensing. |
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