Original scientific paper
https://doi.org/10.2498/cit.1002419
Energy Efficiency and Throughput Optimization of Cognitive Relay Networks
Yaolian Song
; Faculty of Information Engineering and Automation, Kunming University of Science and Technology
Fan Zhang
; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming
Shao Yubin
; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming
Abstract
In this paper, we investigate the energy efficiency and throughput optimization problem of cognitive relay networks. We propose to design sensing time and signal to noise ratio (SNR) to maximize the energy efficiency and throughput, since analytical and empirical studies have shown that sensing time and SNR are key factors for energy efficiency and throughput. We design a method that simultaneously considers the parameters of spectrum sensing time and SNR to optimize the energy efficiency of cognitive radio networks. Furthermore, we conduct deep experiments which show that there exists the optimal sensing time to maximize energy efficiency and throughput. In addition, optimal sensing time and optimal SNR can be jointly designed to maximize energy efficiency. Finally, we provide simulation results to show that energy efficiency of cognitive relay transmission scheme can be significantly improved compared with that of direct transmission scheme in cognitive radio networks.
Keywords
energy efficiency; cognitive relay transmission; SNR; spectrum sensing time
Hrčak ID:
129191
URI
Publication date:
31.10.2014.
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