Interference Management for Adaptive Full-Duplex V2V Communications with Delayed CSI Feedback
TL;DR
An adaptive full-duplex V2V (AFD-V2V) interference management algorithm is proposed to dynamically select the optimal duplex mode and 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.
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.