The
perception-assisted predictive
handover method in the high-speed
railway tunnel scene of the application belongs to the technical field of
wireless communication and intelligent transportation, and the steps include: constructing a bistatic communication and
perception integrated architecture, establishing a communication and
perception signal model considering double selective channels, deducing a lower bound of Cramer-Rao based on joint time
delay-Doppler parameter
estimation to establish a perception-assisted
location prediction model, designing a three-state predictive
handover mechanism based on perception information, and proposing a perception-assisted dual deep Q network
algorithm, jointly optimizing
handover decision, clamp antenna configuration and power allocation. By integrating perception capability into handover decision, the application realizes predictive switching before
signal degradation, significantly improving the handover success rate and communication
throughput in the high-speed
railway tunnel scene.