A Qoe-Based App Layer Scheduling Scheme For Scalable Video Transmissions Over Multi-Rat Systems

We propose an application (APP) layer scheduling scheme for scalable video transmissions over multiple radio access technologies (multi-RATs). More specifically, the proposed scheme adaptively adjusts the transmission parameters based on estimated network characteristics so that the decoding quality of experience (QoE) at user end is maximized. These parameters include number of transmitted video layers (source coding rate), the APP layer forward error correction (FEC) redundancy for each video layer (channel coding rate), and the transmission data rates in both cellular network and wireless local area network (WEAN). The network conditions are estimated by real-time protocol (RTP) and real-time control protocol (RTCP). Since the proposed scheme is an APP layer design, it can be easily implemented without changing the configurations of lower layers (e.g., transport or MAC layers). Simulations are conducted in network simulator 3 (NS-3), and demonstrate the effectiveness of our proposed scheme.