Video Packet Scheduling With Stochastic QoS for Cognitive Heterogeneous Networks

In this paper, a video framework with stochastic quality of service (QoS) is proposed for cognitive heterogeneous networks based on internetwork cooperation. The video packet scheduling is subject to constraints in the available energy at each call for secondary mobile terminal (MT), the time varying channel state information (CSI) at different interfaces, the total interference power, the target call duration, and the video characteristics. The objective function maximizes the minimum lower bound of video quality. In order to solve the above video packet scheduling problem with stochastic QoS guarantee, a video packet scheduling scheme based on forward-auction theory is proposed. Then, the cumulative distribution function (CDF) for video quality is analyzed. Finally, the power allocation scheme to maximize the minimization lower bound of video quality among different secondary MTs is presented. Simulation results demonstrate that the proposed video packet scheduling scheme with stochastic QoS requirement improves the video quality for secondary MT significantly.