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，能够使无线网络同时执行通信与感知任务。然而在城市蜂窝网络中，建筑物阻塞导致信号传播环境复杂，影响了集成感知与通信（ISAC）网络的性能分析。为克服这一困难，本文构建了考虑建筑阻塞的综合性框架，并采用距离相关阻塞模型分析视距（LoS）、非视距（NLoS）及目标反射级联（TRC）链路的干扰。基于随机几何理论，推导了存在阻塞情况下通信与感知的信干噪比（SINR）及覆盖概率表达式，从而可在相同参数下进行综合比较。研究结果表明，阻塞对覆盖具有积极影响，尤其能增强通信性能。分析还指出，当阻塞规模与基站密度处于同一量级时，存在最优基站（BS）密度，可使通信或感知覆盖概率最大化。