Flow Optimization for Scalable Multi-view Video over Wireless Network

Abstract

This paper studies network performance optimization to maximize the overall user utility for scalable multi-view video (SMVV) streaming over wireless networks. We utilize a hybrid temporal-spatial content rate-distortion metric to measure 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 maximization model for efficient SMVV streaming, then a distributed and layered solution based on Lagrangian dual decomposition 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 proposed algorithm is verified by the simulation results.