Robust Power Control for Clustering-Based Vehicle-to-Vehicle Communication

This article investigates the power control scheme in an uplink clustering network when the vehicle density is high. In the dynamic communication environment, the vehicle-to-vehicle (V2V) channel model is proposed to evaluate the extra Doppler shifted impact on the uncertain channel gains. Since the mobile wireless channels are fast time varying and the vehicle mobility is usually high, a robust optimization problem is formulated to maximize the network-wide sum rates constrained with the predefined outage probability. To perform the optimization, the original problem with probability constraints is first converted to the deterministic problem, using the known statistical characteristics (i.e., the mean and variance of V2V channel gains). Second, the successive convex approximation is proposed to transform the nonconvex problem into the convex problem. Third, the dual decomposition is used to determine the optimal solution. Finally, an iterative algorithm is used to determine the optimal transmission power of each user. The proposed framework is evaluated using numerical simulations with different V2V configurations. The numerical simulation results show the effectiveness and the robustness of the proposed algorithm when applying on dynamic vehicular network scenes.