Unequal power allocation for real-time uncompressed video transmission over wireless channels

Uncompressed video transmission has recently attracted research attentions because it ensures low end-to-end latency, high video quality and low complexity. In this paper, we propose a real-time uncompressed video transmission system, where unequal power allocation (UPA) strategies are adopted to minimize the end-to-end mean square error (MSE). Specifically, the relationship between the bit error rate (BER) and the MSE is established. Based on the relationship, an optimization problem is formulated, where both the power budget and the peak-to-average power ratio (PAPR) constraint are satisfied. By solving the problem, an optimal iterative UPA algorithm and a suboptimal simplified UPA algorithm are proposed. Simulation results show that the peak signal-to-noise ratio (PSNR) of the reconstructed video is improved largely.