Interference Management for Adaptive Full-Duplex V2V Communications with Delayed CSI Feedback

Abstract

This paper addresses the performance degradation caused by delayed channel state information (CSI) feedback in vehicular networks by introducing full-duplex (FD) technology into vehicle-to-vehicle (V2V) communications. We jointly optimize power control and spectrum allocation, designing an FD-V2V interference management algorithm aimed at maximizing the ergodic sum rate and the minimum ergodic rate of vehicle-to-infrastructure (V2I) links, respectively. Furthermore, an adaptive full-duplex V2V (AFD-V2V) interference management algorithm is proposed to dynamically select the optimal duplex mode. The proposed algorithm maximizes system performance while guaranteeing V2V link reliability by integrating large-scale fading information, statistical properties of small-scale fading, and delayed CSI of small-scale fading from non-directly connected base station links. The simulation results demonstrate that the AFD-V2V scheme significantly outperforms traditional half-duplex V2V (HD-V2V) in both the ergodic sum rate and the minimum ergodic rate.