Optimal Resource Allocation for Video Streaming over Cognitive Radio Networks

Cognitive Radio (CR) is a new paradigm in wireless communications to enhance utilization of limited spectrum resources. In this paper, we investigate the resource allocation problem for video streaming over spectrum underlay cognitive radio networks where secondary users and primary users transmit data simultaneously in a common frequency band. We formulate the resource allocation problem into an optimization problem, which jointly optimizes the source rate, the transmission rate, and the transmission power at each secondary session to provide QoS guarantee to the video streaming sessions. The optimization problem is formulated into a Geometric Programming (GP) problem, which can be solved efficiently. In the simulations, we demonstrate that the proposed scheme can achieve a lower Packet Loss Rate (PLR) and queuing delay, thus leading to a higher video quality for the video streaming sessions, compared to the uniform scheme.