Research Article
Energy-Efficiency Maximisation in Random Cognitive Radio Networks
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@INPROCEEDINGS{10.1007/978-3-319-94965-9_8, author={Saifur Sabuj and Md Hossain and Edmund Lai}, title={Energy-Efficiency Maximisation in Random Cognitive Radio Networks}, proceedings={Smart Grid and Innovative Frontiers in Telecommunications. Third International Conference, SmartGIFT 2018, Auckland, New Zealand, April 23-24, 2018, Proceedings}, proceedings_a={SMARTGIFT}, year={2018}, month={7}, keywords={Cognitive radio network Stochastic geometry Poisson point process Energy efficiency}, doi={10.1007/978-3-319-94965-9_8} }- Saifur Sabuj
Md Hossain
Edmund Lai
Year: 2018
Energy-Efficiency Maximisation in Random Cognitive Radio Networks
SMARTGIFT
Springer
DOI: 10.1007/978-3-319-94965-9_8
Abstract
Energy-efficient cognitive radio network has received considerable attention recently because of improving spectrum and energy efficiency. In light of such observations, we present a model for cognitive radio network based on stochastic geometry theory where transmitters and receivers are distributed according to Poisson point process. In this paper, we focus on the optimization problem where energy efficiency is maximized under the constraint of outage probability for primary network and secondary network. We show that the energy efficiency is increased with the increment of threshold for primary network. However, the energy efficiency is maximum for a certain value of threshold in secondary network.
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