QoE-based resource allocation for mixed services over cognitive radio networks

Abstract

In cognitive radio (CR) networks, secondary users (SUs) may have various applications such as video streaming and file transfer, resulting in different bandwidth requirements. In this paper, we propose a Quality of Experience (QoE) based resource allocation scheme for mixed services over spectrum underlay cognitive radio networks. The proposed scheme jointly optimize the transmission rate and transmission power at each secondary session to maximize the network resource usage and all users' average QoE. The mean opinion score (MOS), which is an effective measurement of QoE, is used as the unifying metric over different service classes. The optimization is solved efficiently using geometric programming techniques. The simulation results demonstrate that the proposed QoE-based resource allocation scheme outperforms the conventional rate-based scheme in terms of user perceived quality.