On using cooperative game theory to solve the wireless scalable video multicasting problem

Video multicast over wireless networks suffers from both heterogeneous packet loss resulting from different channel conditions and user capacity heterogeneity in screen resolution and mobile device battery life. To solve resource scheduling problem in video multicasting in heterogeneous network, an Asymmetric Nash Bargaining Game model in layered hybrid FEC/ARQ for scalable video multicast is proposed in this paper. The scheme is applied in multicast server for each time slot, and the server will play the bargaining game for all users according to their real-time channel conditions and device capacities. By solving the bargaining problem, the server achieves to provide fair and efficient multicast utility for each user. Moreover, a formula of bargaining power is proposed in the asymmetric game model to adjust resource allocation according to system bias and user priority.