QoE-oriented resource allocation for multiuser-multiservice femtocell networks

Abstract

The pursuit of high data rate and assurance of quality of experience (QoE) for end users represent the main goals of future wireless communication systems. By introducing MOS (Mean Opinion Score) based assessment models for different types of applications, this paper proposed novel QoE-oriented radio resource allocation (RRA) algorithms for multiuser-multiservice femtocell networks. An optimal QoE-oriented RRA strategy is first analyzed using time-sharing method which is applicable to best effort applications. RRA algorithms based on the cross-layer architecture are then proposed for all types of applications by considering parameters extracted from different layers of networking protocols. In the proposed algorithms, a priority mechanism is employed to ensure fairness. Simulation results show that the proposed algorithms can significantly improve the overall perceived quality from the users' perspective in comparison with traditional Quality of Service (QoS) oriented algorithms.