Multichannel Selection for Cognitive Radio Networks With RF Energy Harvesting

Multichannel Selection for Cognitive Radio Networks With RF Energy Harvesting
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DOI:
10.1109/lwc.2017.2763591
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发表时间:
2018-04
影响因子:
6.3
通讯作者:
M. Xu;Ming Jin;Qinghua Guo;Youming Li
M. Xu;Ming Jin;Qinghua Guo;Youming Li
中科院分区:
计算机科学2区
文献类型:
--
作者:
M. Xu;Ming Jin;Qinghua Guo;Youming Li

文献摘要

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A multichannel selection strategy is proposed for RF energy harvesting cognitive radio networks, where multiple channels are available, and each secondary user (SU) harvests RF energy from the channel being occupied by active primary users and transmits data using other idle channels. To maximize the average throughput of SUs which contend for the use of idle channels, the multichannel selection strategy is formulated to a convex optimization problem. Further, we derive an analytical solution to the optimization problem. Numerical results are provided to demonstrate the superior performance of the proposed strategy and verify the analytical solution.