Mobility-driven scheduler for mobile networks carrying adaptive streaming traffic

It is well-known that opportunistic schedulers can exploit multi-user diversity and channel variations in the presence of elastic traffic to improve users' QoE. As more and more adaptive streaming traffic appear in the wireless system, it is needed to verify the performance impacts of deploying opportunistic schedulers and other policies. This paper examines the video bit rate and the buffer surplus in various scenarios of mobility under several scheduling policies, and proposes for operators to deploy round-robin policy in the static scenario. In the cases with users' mobility, there are performance trade-offs between the video bit rate and the buffer surplus and scheduling policy is suggested based on the targeted metric. In order to obtain an intermediate results, discriminatory scheduling is also investigated and suggested in this case.