Communication-sensing integration represents an up-and-coming area of research, enabling wireless networks to simultaneously perform communication and sensing tasks. However, in urban cellular networks, the blockage of buildings results in a complex signal propagation environment, affecting the performance analysis of integrated sensing and communication (ISAC) networks. To overcome this obstacle, this paper constructs a comprehensive framework considering building blockage and employs a distance-correlated blockage model to analyze interference from line of sight (LoS), non-line of sight (NLoS), and target reflection cascading (TRC) links. Using stochastic geometric theory, expressions for signal-to-interference-plus-noise ratio (SINR) and coverage probability for communication and sensing in the presence of blockage are derived, allowing for a comprehensive comparison under the same parameters. The research findings indicate that blockage can positively impact coverage, especially in enhancing communication performance. The analysis also suggests that there exists an optimal base station (BS) density when blockage is of the same order of magnitude as the BS density, maximizing communication or sensing coverage probability.

翻译：通信感知一体化是一个新兴的研究领域，它使无线网络能够同时执行通信和感知任务。然而，在城市蜂窝网络中，建筑物的遮挡导致了复杂的信号传播环境，影响了集成感知与通信网络的性能分析。为克服这一障碍，本文构建了一个考虑建筑物遮挡的综合框架，并采用距离相关的遮挡模型来分析来自视距链路、非视距链路以及目标反射级联链路的干扰。利用随机几何理论，推导了存在遮挡时通信与感知的信干噪比和覆盖概率的表达式，从而能够在相同参数下进行全面的比较。研究结果表明，遮挡可以对覆盖产生积极影响，特别是在提升通信性能方面。分析还表明，当遮挡的尺度与基站密度处于同一数量级时，存在一个最优的基站密度，能够最大化通信或感知的覆盖概率。