Combined Power Allocation and Coding for Compressed Image Transmission

In this paper, joint optimization of bit energy and coding is considered for improving the quality of compressed image transmission over wireless channels. The proposed scheme works iteratively to find the best combination of energy distribution among the transmitted bits as well as if coding should be used or not. The minimum mean-square error criterion is used in such optimization rather than the probability of bit error. Simulation results show that a significant gain in performance is achieved while reducing the peak-to-average power ratio and required bandwidth compared to the case of power optimization alone and coding alone, respectively