Flow Optimization for Scalable Multi-view Video over Wireless Network

This paper studies network performance optimization to max-imize the overall user utility for scalable multi-view video (SMVV) streaming over wireless networks. We utilize a hy-brid temporal-spatial content rate-distortion metric to mea-sure the temporal and spatial quality of each view received at the user and define the corresponding user utility. The flow allocation problem is formulated as an utility maximiza-tion model for efficient SMVV streaming, then a distributed and layered solution based on Lagrangian dual decomposi-tion is proposed, in which the rate allocation in each video layer can be solved by the shortest path algorithm and the sub-gradient algorithm. Finally, the performance of the pro-posed algorithm is verified by the simulation results