The Impact of Resource Configuration on Vehicle Location and Velocity Detection towards 6G mmWave Integrated Communication and Sensing

We aim at providing a unified performance analysis framework of joint location and velocity estimation (JLVE) for 6G integrated communication and sensing (ICAS) receivers. This is challenging due to random fading, multipath interference and complex coupling between localization and velocity detection. The impact of channel fading and multipath interference on JLVE performance is not fully understood as well. To address this challenge, we exploit structured information models in the JLVE problem for tractable performance quantification. Firstly, an individual closed-form Cramer-Rao lower bound (CRLB) for localization, velocity detection and channel estimation, respectively, is established for gaining insights into performance limits of ICAS-based JLVE. Secondly, the impact of system bandwidth, subcarrier number, carrier frequency, antenna array size, transmission distance and noise strength, on the JLVE performance is theoretically analyzed, to gain insights into how system factors affect ICAS-based JLVE performance.