Optimal Resource Allocation for Multi-layered Video Streaming over Multi-channel Cognitive Radio Networks

In multi-channel cognitive radio networks, each secondary user can use multiple channels for data transmission to improve the spectrum utilization. In this paper, we investigate the resource allocation problem for multi-layered video streaming over multi-channel cognitive radio networks. The video is encoded into multiple layers, each of which is delivered over a separate channel. Moreover, we jointly optimize the source rate, the transmission rate, and the transmission power at each video session in each channel to provide Quality of Service (QoS) guarantee to all video sessions in the secondary network. The optimization problem is formulated into a Geometric Programming (GP) problem, which can be solved efficiently. We demonstrate in the simulations that the proposed optimal scheme can obtain a lower average Packet Loss Rate (PLR), thus leading to a higher video quality compared to the equal scheme.