On Medium Grain Scalable Video Streaming Over Femtocell Cognitive Radio Networks
Femtocells are shown highly effective on improving network coverage and capacity by bringing base stations closer to mobile users. In this paper, the authors investigate the problem of streaming scalable videos in femtocell Cognitive Radio (CR) networks. This is a challenging problem due to the stringent QoS requirements of real-time videos and the new dimensions of network dynamics and uncertainties in CR networks. They develop a framework that captures the key design issues and trade-offs with a stochastic programming problem formulation. In the case of a single FBS, they develop an optimum-achieving distributed algorithm, which is shown also optimal for the case of multiple non-interfering FBS's.