Performance Evaluation of Integrated Sensing and Communication System based on sensing efficiency and communication capacity in Vehicle Communication Network

The Vehicle Communication Network(VCN) is one of the very important scenarios in the next generation of 6G communication. Integrated sensing and communication (ISAC) technology is considered as one of the key technologies in VCN scenario. ISAC system efficiently integrates communication and sensing modules through hardware share or signal fusion, with the ability to communicate and perceptive at the same time, which can improve performance and economize resources. This paper proposes a framework for communication and sensing performance evaluation for position sensing in VCN from the perspective of performance evaluation. For communication, the increase in communication capacity by the sensing-assisted beam alignment process is evaluated. For sensing, the Cramer-Rao lower bound(CRLB) for positional estimation was derived and the position estimation rate metric was used to indicate perceptual capacity. Theoretical analysis and simulation results demonstrate the improvement of perceptual-assisted communication and provide a trade-off curve for the communication-sensing power allocation design.