QoE-driven Live and On-demand LTE Uplink Video Transmission

Abstract—We consider the joint upstreaming of live and on-demand user-generated video content over LTE using a Quality-of-Experience driven approach. We contribute to the state-of-the-art work on multimedia scheduling in three aspects: 1) we jointly optimize the transmission of live and time-shifted video under scarce uplink resources by transmitting a basic quality in real-time and uploading a refined quality for on-demand consumption. 2) We propose a producer-consumer deadline-aware scheduling algorithm that incorporates both the physical state of the mobile producer (e.g., cache fullness) and the scheduled playout time at the end-user. 3) We show that the scheduling decisions in 1) and 2) can be determined locally for each mobile producer. We additionally present an analytical framework for de-centralized scalable video transmission and prove that there exists an optimal solution to our problem. Simulation results for LTE uplink further demonstrate the significance of our proposed optimization on the overall user experience. I