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http://dx.doi.org/10.6109/jkiice.2016.20.7.1255

Energy Efficient Resource Allocation with Energy Harvesting in Cognitive Radio Networks  

Lee, Kisong (Department of Information and Telecommunication Engineering, Kunsan National University)
Lee, Woongsup (Department of Information and Communication Engineering, Gyeongsang National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.20, no.7, 2016 , pp. 1255-1261 More about this Journal
Abstract
Recently, the energy harvesting technology in which energy is collected from the wireless signal which is transmitted by mobile communication devices, has been considered as a novel way to improve the life time of wireless sensors by mitigating the lack of power supply problem. In this paper, we consider the optimal sensing time and power allocation problem for cognitive radio systems, where the energy efficiency of secondary user is maximized while the constraint are satisfied, using the optimization technique. Based on the derived optimal solutions, we also have proposed an iterative resource allocation algorithm in which the optimal power and sensing time allocation can be found without excessive computations. The simulation results confirm that the proposed scheme achieves the optimal performance and it outperforms the conventional resource allocation schemes in terms of energy efficiency while the constraints are guaranteed to be satisfied.
Keywords
Energy Efficiency; Energy Harvesting; Cognitive Radio; Power Allocation;
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