Integrated communication and sensing for intelligent transportation: algorithms and 3D simulation insights

This work investigates Integrated Communication and Sensing (ICAS) for intelligent transportation systems (ITS), with a focus on pedestrian and vehicle detection to enhance road safety in high-mobility scenarios. We review system and sensing channel models alongside state-of-the-art monostatic and bistatic sensing algorithms, analyzing their strengths and limitations. The Iterative Strong Target Cancellation (ISTC) algorithm is examined as an effective method to mitigate interference and enable reliable multiple-target detection. Building on this foundation, we propose a novel sensing-aided trajectory prediction algorithm that supports proactive beamforming, significantly improving communication reliability. Simulation results demonstrate that predictive and interference-resilient sensing techniques allow ICAS to meet stringent ITS requirements. A high-fidelity 3D simulation framework and practical algorithmic insights are also provided, positioning ICAS as a key enabler for future 6G networks.