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.
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This work was supported in part by the National Natural Science Foundation of China (No. 61401330), the 111 Project of China (B08038), and the Natural Science Foundation of Shaanxi Province (No. 2016JQ6027).
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Gao, Y., Cheng, W., Ren, Z., Zhang, H. (2018). Optimal Channel Selection and Power Control over D2D Communications Based Cognitive Radio Networks. In: Chen, Q., Meng, W., Zhao, L. (eds) Communications and Networking. ChinaCom 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 210. Springer, Cham. https://doi.org/10.1007/978-3-319-66628-0_11
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DOI: https://doi.org/10.1007/978-3-319-66628-0_11
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