Research Article
Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks
@INPROCEEDINGS{10.1007/978-3-319-66628-0_11, author={Ya Gao and Wenchi Cheng and Zhiyuan Ren and Hailin Zhang}, title={Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks}, proceedings={Communications and Networking. 11th EAI international Conference, ChinaCom 2016 Chongqing, China, September 24-26, 2016, Proceedings, Part II}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Cognitive radio networks D2D communication Channel selection Power control Video distortion Convex optimization}, doi={10.1007/978-3-319-66628-0_11} }- Ya Gao
Wenchi Cheng
Zhiyuan Ren
Hailin Zhang
Year: 2017
Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks
CHINACOM
Springer
DOI: 10.1007/978-3-319-66628-0_11
Abstract
We develop the joint optimal channel selection and power control scheme for video streaming with D2D communications in cognitive radio networks. In particular, we build the virtual queue model to evaluate the delays experienced by various streaming, which reflects the video distortion. To minimize the video distortion, we formulate an optimization problem, which is proved to be a quasi-convex optimization problem. Using the hypo-graph form, we convert the original problem into an equivalent convex optimization problem, solving which we can derive the joint channel selection and power control scheme in D2D communications based cognitive radio networks. The extensive simulation results obtained validate our developed joint channel selection and power control scheme. We also show that our developed scheme can significantly increase the average peak signal-to-noise ratio (PSNR) as compared with the existing research works.