In this paper, we investigate an energy-efficient power allocation scheme in the cognitive radio (CR) networks that utilizes the energy harvested from ambient sources and spectrum sensing information. The optimization problem is formulated as a ratio of the spectral efficiency (SE) to the total energy consumption under the energy and battery causality constraints, which is solved by an iterative algorithm to obtain the optimal solutions. Moreover, the expressions for the optimal solutions are obtained through the dual-decomposition method. Finally, with the help of exhaustive simulation results we show that the proposed power allocation scheme immoderately improves the the average energy efficiency (EE) and SE performance of the network.


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    Title :

    Optimal Energy-Efficient Resource Allocation in Energy Harvesting Cognitive Radio Networks with Spectrum Sensing


    Contributors:


    Publication date :

    2016-09-01


    Size :

    217538 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English