Short paper: Performance analysis of MIMO-based decode-and-forward relaying VANETs

In this paper, we present a novel transceiver architecture for vehicular ad hoc networks (VANETs) employing a combination of decode-and-forward (DF) cooperative communications and multiple-input multiple-output (MIMO) transmission. To assess the performance of the proposed architecture, we have developed a geometric model that is applicable to high mobility environments, where each channel element consists of a sum of complex harmonic exponentials. To assist with the performance assessment, we derived the lower bound on the ergodic channel capacity for the DF scenario. We perform iterative algorithms and provide the transmit covariance matrices which present the certain lower bound for given power constraints. Simulation results show that allocated power over the spatial dimension converge to their optimum value and consequently the exact lower bound is obtained instead of getting sub-optimal achievable rates.