QoE-aware Video Streaming Multicast for Heterogeneous Mobile Devices over Wireless Network

Abstract

We propose the effective video multicast system which contains the call admission control and resource allocation algorithm to improve quality of experience (QoE) of multicasting scalable video coding streams over wireless networks. The base station (BS) makes a decision for a call admission based on the two QoE factors: user centric video quality satisfaction and blocking/dropping rate. The BS also schedules resource based on the user requests according to device capacity of the user under the bandwidth constraint. The proposed algorithms adopt a solution of knapsack problem and a Lagrange multiplier method to obtain a near optimal solution with a low computational complexity. In simulations, the proposed algorithm provided good QoE and high quality satisfaction of users. Therefore, we proved that the proposed algorithm provides higher QoE than existing algorithms, so the BS scheduler should use the proposed algorithm to increase QoE of users.