Game Theory Based Dynamic Bit-Rate Adaptation for H.264 Scalable Video Transmission in 4G Wireless Systems
In this paper, the authors propose a game theoretic framework for decentralized H.264 scalable video bitrate adaptation in 4G wireless networks. The framework presented employs a pricing based utility function towards video streaming quality optimization. An algorithm is presented for iterative strategy update of the competing scalable coded video streaming end users towards an equilibrium allocation. In this paper, they demonstrate the existence of a Nash equilibrium for the proposed video bitrate adaptation game based on the quasi-concavity of the net video utility function. Existence of Nash equilibrium ensures efficient usage of the 3G/4G bandwidth resources towards video quality and revenue maximization.