A QoE-Driven Cross-Layer Resource Allocation Scheme for High Traffic Services over Open Wireless Network Downlink

In this paper, a Quality of Experience (QoE)-driven cross-layer resource allocation scheme for high traffic services over Open Wireless Network (OWN) downlink is proposed. And the main novelty of this paper is that it solves the resource allocation problem about the users in overlap region of adjacent cells through central controller without the communication between different cells. Also, we have adopted the QoE assessment models for BestEffort and video services to abstract its´ Mean Opinion Score (MOS) value. And we use the cross- layer architecture which considers the parameters in application layer, media access control layer and physical layer jointly. Then, we build the mathematical model of the resource allocation problem. Based on the Binary Constrained Particle Swarm Optimization (B_CPSO) algorithm, the optimization results can be found. In addition, Simulation results show that the proposed scheme have better performance than the other schemes in terms of maximizing average users´ MOS value for the whole system as well as maintaining fairness among users.