Channel Modeling of Decode-and-Forward Relaying VANETs

In this paper, we propose a statistical channel model for decode-and-forward relaying vehicular ad hoc networks (VANETs) with single-input-single-output (SISO) antennas. The proposed model uses a sum-of-sinusoids (SoS) Rician model, which is derived for highway scenarios with line-of-sight (LOS) components, time varying conditions and multipath excess delay. Since the time delay differences between multipath components are considered in this work as opposed to previous studies, the power of channel impulse response is conserved. One of the advantages of the proposed channel model is that it does not depend on parameters such as distance and angle between vehicles, which changes continuously in a highway transmission environment. Using the proposed channel model, we analyze the relay network capacity of a VANET operating in highway traffic conditions. The results show that, the proposed channel model has higher performance relative to previous studies since the model contains the effect of time delay between multipath components.