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
APA 6th Edition Song, Y., Zhang, F. i Yubin, S. (2014). Energy Efficiency and Throughput Optimization of Cognitive Relay Networks. Journal of computing and information technology, 22 (3), 151-158. https://doi.org/10.2498/cit.1002419
MLA 8th Edition Song, Yaolian, et al. "Energy Efficiency and Throughput Optimization of Cognitive Relay Networks." Journal of computing and information technology, vol. 22, br. 3, 2014, str. 151-158. https://doi.org/10.2498/cit.1002419. Citirano 04.03.2021.
Chicago 17th Edition Song, Yaolian, Fan Zhang i Shao Yubin. "Energy Efficiency and Throughput Optimization of Cognitive Relay Networks." Journal of computing and information technology 22, br. 3 (2014): 151-158. https://doi.org/10.2498/cit.1002419
Harvard Song, Y., Zhang, F., i Yubin, S. (2014). 'Energy Efficiency and Throughput Optimization of Cognitive Relay Networks', Journal of computing and information technology, 22(3), str. 151-158. https://doi.org/10.2498/cit.1002419
Vancouver Song Y, Zhang F, Yubin S. Energy Efficiency and Throughput Optimization of Cognitive Relay Networks. Journal of computing and information technology [Internet]. 2014 [pristupljeno 04.03.2021.];22(3):151-158. https://doi.org/10.2498/cit.1002419
IEEE Y. Song, F. Zhang i S. Yubin, "Energy Efficiency and Throughput Optimization of Cognitive Relay Networks", Journal of computing and information technology, vol.22, br. 3, str. 151-158, 2014. [Online]. https://doi.org/10.2498/cit.1002419
Sažetak 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.