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Performance Analysis of Terahertz Integrated Sensing and Communications over Multi-Cluster Fluctuating Two-Ray Fading

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Liu, Yiting
Tang, Zhifeng
Yang, Nan

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Institute of Electrical and Electronics Engineers Inc.

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We present comprehensive analysis of the communication and sensing performance of a terahertz (THz) integrated sensing and communication system. Notably, we adopt the multi-cluster fluctuating two-ray (MFTR) model to characterize the small-scale fading of THz transmission with high generality. We derive closed-form expressions for the probability density functions (PDFs) of the communication and sensing signal-to-noise ratios and signal-to-interference-plus-noise ratios, covering both uplink and downlink scenarios under communication-centric and sensing-centric configurations. Based on the PDFs, we further derive the outage probabilities and detection probabilities to evaluate the communication and sensing performance, respectively. Using simulations, we verify the accuracy of our analysis and reveal key insights into the impacts of system parameters, such as fading severity and transmit power, on the system performance.

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2025 IEEE 102nd Vehicular Technology Conference, VTC 2025-Fall - Proceedings

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