부산대학교 도서관

With the continuous maturity of fifth-generation (5G) mobile communication technology, the Internet of Vehicles (IoV) has become a key scenario for future intelligent transportation system. One of the vital challenges of the IoV is how to provide reliable wireless communication in high mobility scenarios. Orthogonal time frequency space (OTFS) is widely concerned due to its robustness in high-speed mobile scenarios at high carrier frequency, which is particularly suitable for IoV communication. This paper proposes a data-driven intelligent receiver from the perspective of signal processing for OTFS communication. The proposed intelligent receiver utilizes the designed efficient MobileNet (EMNet) to jointly optimize all signal recovery modules of OTFS receiver, which complete end-to-end information recovery process. Meanwhile, the lightweight structure of EMNet reduces the computing power and storage capacity of hardware devices required for model deployment. In order to verify the system reliability of the intelligent receiver in IoV, the performance of the traditional receiver and the intelligent receiver for OTFS communication are compared and analyzed under different conditions. Simulation results show that, compared with the traditional receiver, the proposed intelligent receiver can recover information with a lower bit error rate and improve the reliability of wireless communication in the IoV.