Energy Efficient Wireless Scalable Video Streaming with Optimal Transmission Rate Adaptation and Unequal Error Protection

The dramatic increase in bandwidth brought by new technologies is beginning to enable video streaming capability in personal communications. We introduce a new energy efficient approach to deal with the wireless scalable video streaming. The goal of the optimization problem is to minimize the energy consumption under delay and expected video quality constraints. An optimal algorithm based on dynamic programming is also proposed to jointly select the scalable enhancement layers, channel transmission rate adaptation and FEC (forward error correction) error protection. Simulation results show that over 5-30% energy can be saved to achieve the same expected video distortion