With the continuous improvement of the communication frequency band, optical wireless communication (OWC) has attracted extensive attention. Due to the short wavelength and high directivity of optical signals, OWC has high requirements for precise positioning and beam alignment, which additionally increases the positioning and computing burden of the base station. In order to solve this pain point problem, this paper proposes an optical integrated sensing and communication system based on combination of optical intelligent reflecting surface (OIRS) and photodiode (PD) array. This system enables the integration of sensing and communication functionalities with a single transmission, a single device, and ultimately a single network infrastructure, which saves a lot of resources and improves system performance. Based on the OWC channel model and the OIRS physical model, we deduce the probability distribution function (PDF) of channel fading and the closed-form expression of system performance, which shows the influence of various parameters on performance. Simulations have been performed to verify the accuracy of the derived results. Based on theoretical results and simulation results, we make suggestions for system design.

In this paper, we consider the channel modeling of a heterogeneous vehicular integrated sensing and communication (ISAC) system, where a dual-functional multi-antenna base station (BS) intends to communicate with a multi-antenna vehicular receiver (MR) and sense the surrounding environments simultaneously. The time-varying complex channel impulse responses (CIRs) of the sensing and communication channels are derived, respectively, in which the sensing and communication channels are correlated with shared clusters. The proposed models show great generality for the capability in covering both monostatic and bistatic sensing scenarios, and as well for considering both static clusters/targets and mobile clusters/targets. Important channel statistical characteristics, including time-varying spatial cross-correlation function (CCF) and temporal auto-correlation function (ACF), are derived and analyzed. Numerically results are provided to show the propagation characteristics of the proposed ISAC channel model. Finally, the proposed model is validated via the agreement between theoretical and simulated as well as measurement results.