QoE-aware Efficient Resource Allocation in Cloud Radio Access Network

Abstract

To solve the problems of the uneven distribution of bandwidth and poor quality of the user experience in an optical and wireless network, a quality of experience (QoE)-aware bandwidth allocation strategy in cloud radio access network is proposed. A software-defined optical domain and wireless domain resource trading platform was established to interact with the optical domain and wireless domain resource allocation and divide into two stages by Stackelberg game. Furthermore, the priced-based strategy addresses fronthaul bandwidth allocation between the central office and the mobile network operators, and wireless bandwidth allocation between mobile network operators and smart mobile devices. Considering the length of the playback buffer, the index of rebuffering is introduced to guarantee the quality of the experience. Finally, according to the Nash equilibrium, a two-stage optimal strategy is achieved in the optical domain and wireless domain collaboration to ensure the quality of experience. The simulation results show that the proposed scheme rationally allocates the fronthaul and wireless bandwidth and effectively improves bandwidth utilization and the quality of experience.