Adaptive Scalable Video transmission based on large deviation theory in Energy Harvesting aided wireless systems

摘要

This paper considers adaptive transmission of Scalable Video Coding (SVC) stream over a fading channel in Energy Harvesting (EH) aided communication systems. The aim is to enable the transmitter having the ability of adaptively adjusting the number of video layers to be transmitted based on the available energy. Since the depletion of the energy in the battery impacts the interruption of the video transmission, the energy starvation probability is defined for equivalently characterizing a Quality-of-Experience (QoE) metric. We formulate the problem of EH-aided video transmission as maximizing the number of video layers for transmission while keeping the energy starvation probability below a threshold. Classic large deviation theory is applied to estimate the energy starvation probability from online measurements. The simulation results verify that the algorithm proposed have the adaptation capability to accommodate both the energy-dynamics and the channel-dynamics for improving the video quality subject to an unobjectionable level of transmission interruption rate.