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Energies 2014, 7(4), 2535-2557; doi:10.3390/en7042535

Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks

1,*  and 1
1 Department of Electrical and Computer Engineering, Ryerson University, 350 Victoria Street,M5B 2K3, Toronto, Canada 2 Department of Electrical Engineering, COMSATS Institute of IT, Wah Campus, Wah, Pakistan
* Author to whom correspondence should be addressed.
Received: 20 January 2014 / Revised: 8 April 2014 / Accepted: 9 April 2014 / Published: 22 April 2014
(This article belongs to the Special Issue Green IT and IT for Smart Energy Savings)
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We study the energy-efficient power allocation techniques for OFDM-based cognitive radio (CR) networks, where a CR transmitter is communicating with CR receivers on a channel borrowed from licensed primary users (PUs). Due to non-orthogonality of the transmitted signals in the adjacent bands, both the PU and the cognitive secondary user (SU) cause mutual-interference. We assume that the statistical channel state information between the cognitive transmitter and the primary receiver is known. The secondary transmitter maintains a specified statistical mutual-interference limits for all the PUs communicating in the adjacent channels. Our goal is to allocate subcarrier power for the SU so that the energy efficiency metric is optimized as well as the mutual-interference on all the active PU bands are below specified bounds. We show that the green power loading problem is a fractional programming problem. We use Charnes-Cooper transformation technique to obtain an equivalent concave optimization problem for what the solution can be readily obtained. We also propose iterative Dinkelbach method using parametric objective function for the fractional program. Numerical results are given to show the effect of different interference parameters, rate and power thresholds, and number of PUs.
Keywords: green energy allocation; energy efficiency; cognitive radio green energy allocation; energy efficiency; cognitive radio
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Karmokar, A.; Naeem, M.; Anpalagan, A.; Jaseemuddin, M. Energy-Efficient Power Allocation Using Probabilistic Interference Model for OFDM-Based Green Cognitive Radio Networks. Energies 2014, 7, 2535-2557.

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