In anticipatory networking, channel prediction is used to improve communication performance. This paper describes a new approach for allocating resources to video streaming traffic while accounting for quality of service. The proposed method is based on integrating a model of the user's local play-out buffer into the radio access network. The linearity of this model allows to formulate a Linear Programming problem that optimizes the trade-off between the allocated resources and the stalling time of the media stream. Our simulation results demonstrate the full power of anticipatory optimization in a simple, yet representative, scenario. Compared to instantaneous adaptation, our anticipatory solution shows impressive gains in spectral efficiency and stalling duration at feasible computation time while being robust against prediction errors. IEEE ICC 2016 -Communication QoS, Reliability and Modeling Symposium 978-1-4799-6664-6/16/$31.00 ©2016 IEEE
With known future instantaneous channel gains, the trade-off between the required resources and the stalling time was investigated in REF .
Anticipatory radio resource management for mobile video streaming with linear programming
2016 IEEE International Conference on Communications (ICC)
2016 IEEE International Conference on Communications (ICC)
Computer Science