Abstract
RF energy harvesting (EH) is a new paradigm constituted by the wireless sensor network which enables it to recharge through the directed electromagnetic energy transfer. In a practical scenario, secondary users (SUs) are unacquainted with the traffic statistics of primary users (PUs). Thus, maximizing bandwidth utilization is one of the objectives of this paper. In order to obtain reasonably accurate estimations of spectrum opportunities (channels), the modified myopic scheme is implemented in this paper. In addition, energy detection algorithm is implemented for spectrum sensing. A scheme which proficiently executes channel selection, channel allocation and energy harvesting for the system model of multiple PUs and SUs in cognitive radio network (CRN) is also proposed in this paperwork. The outcome of the paper proves that the proposed scheme maintains a satisfactory balance between accessing the spectrum and harvesting energy while maintaining the fairness among SUs.
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Shetkar, P., Ronghe, S. (2019). Dynamic Spectrum Allocation and RF Energy Harvesting in Cognitive Radio Network. In: Wang, J., Reddy, G., Prasad, V., Reddy, V. (eds) Soft Computing and Signal Processing . Advances in Intelligent Systems and Computing, vol 898. Springer, Singapore. https://doi.org/10.1007/978-981-13-3393-4_74
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DOI: https://doi.org/10.1007/978-981-13-3393-4_74
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