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：通信感知融合是一个新兴的研究领域，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，建筑物的遮挡导致复杂的信号传播环境，影响了集成感知与通信（ISAC）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，并采用距离相关遮挡模型，对来自视距（LoS）、非视距（NLoS）和目标反射级联（TRC）链路的干扰进行分析。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（SINR）和覆盖概率表达式，从而在相同参数下进行全面比较。研究结果表明，遮挡对覆盖具有积极影响，尤其是在提升通信性能方面。分析同时指出，当遮挡尺度与基站密度处于同一量级时，存在最优基站密度，可使通信或感知覆盖概率最大化。