Nonlinear Self-Interference Cancellation in Vehicle Networks for Full-Duplex Integrated Sensing and Communication
Yimin He, Hongzhi Zhao, Shihai Shao
Abstract
Full-duplex integrated sensing and communication (ISAC) in vehicle-to-everything (V2X) networks is emerging for next-generation wireless communication. However, the self-interference (SI) problem is one of the key challenges for communication and sensing systems to share the same frequency band. In this paper, we propose a novel nonlinear SI cancellation (NSIC) for V2X networks considering the beam tracking introduced by vehicle movement. The proposed scheme can be performed with or without the channel state information (CSI) of SI, where the reconstruction coefficients are obtained by projecting from the path coefficients or updating the previous reconstruction coefficients, respectively. Simulation results demonstrate that the proposed NSIC obtains stable cancellation performance in beam tracking, and can reach the performance of the conventional NSIC under fixed beam pointing.