Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

doi:10.1016/S1005-8885(15)60649-5

中国邮电高校学报(英文) ›› 2015, Vol. 22 ›› Issue (3): 26-34.doi: 10.1016/S1005-8885(15)60649-5

Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

Song Yaolian, Zhang Fan, Shao Yubin, Long Hua

Faculty of Information Engineering and Automation, Kunming University of Science and Technology

收稿日期:2014-08-26 修回日期:2015-01-22 出版日期:2015-06-30 发布日期:2015-06-24
通讯作者: Song Yiaolian, E-mail: syl719@163.com E-mail:syl719@163.com
基金资助:
the National Science Fund under Grant No. 6087215, the Yunnan Research Program of Application Foundation under Grant No.2011FB035 and the School training fund under granted No.KKZ3201403010

Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

Song Yaolian, Zhang Fan, Shao Yubin, Long Hua

Faculty of Information Engineering and Automation, Kunming University of Science and Technology

Received:2014-08-26 Revised:2015-01-22 Online:2015-06-30 Published:2015-06-24
Contact: Song Yiaolian, E-mail: syl719@163.com E-mail:syl719@163.com
Supported by:
the National Science Fund under Grant No. 6087215, the Yunnan Research Program of Application Foundation under Grant No.2011FB035 and the School training fund under granted No.KKZ3201403010

摘要/Abstract

摘要： This paper focuses on the energy efficiency of cognitive relay (CR) networks with cooperative sensing, joint optimization of the sensing time and the signal-to-noise ratio (SNR) is studied to maximize the energy efficiency of CR network. Theoretical analysis shows that there exists an optimal sensing time and optimal SNR to make the energy efficiency maximized under a constraint of detection probability. Simulation results illustrate that the optimal fusion rule performs better than the OR rule and the AND rule in terms of the energy efficiency. By properly designing the fusion rule threshold as well as the number of cooperative sensing users, the energy efficiency of CR networks can be further improved.

关键词: cognitive radio network, cognitive relay network, energy efficiency, sensing time, fusion rule threshold, number of cooperative sensing users

Abstract: This paper focuses on the energy efficiency of cognitive relay (CR) networks with cooperative sensing, joint optimization of the sensing time and the signal-to-noise ratio (SNR) is studied to maximize the energy efficiency of CR network. Theoretical analysis shows that there exists an optimal sensing time and optimal SNR to make the energy efficiency maximized under a constraint of detection probability. Simulation results illustrate that the optimal fusion rule performs better than the OR rule and the AND rule in terms of the energy efficiency. By properly designing the fusion rule threshold as well as the number of cooperative sensing users, the energy efficiency of CR networks can be further improved.

Key words: cognitive radio network, cognitive relay network, energy efficiency, sensing time, fusion rule threshold, number of cooperative sensing users

Song Yaolian, Zhang Fan, Shao Yubin, Long Hua. Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing [J]. Acta Metallurgica Sinica(English letters), 2015, 22(3): 26-34.

参考文献

1. Y. C. Liang, K. C. Chen, G. Y. Li, and P. Mahonen, “Cognitive radio networking and communications: An overview [J],” IEEE Trans. Veh. Technol.,vol. 60, no. 7, Aug. 2011. 2. Y. C. Liang, Y. Zeng, E. C. Y. Peh, and A. T. Hoang, et al ,"Sensing throughput tradeoff for cognitive radio networks [J]," IEEE Trans. Wireless Communications, vol. 7, no. 4, Apr. 2008, pp. 1326-1337. 3. S. Verd_u, “On channel capacity per unit cost [J],” IEEE Transactions on Information Theory, vol. 36, no. 5, pp. 1019–1030, Sept. 1990. 4. A. O. Ercan and M. O. Sunay, “Energy sensing strategy optimization for opportunistic spectrum access [J],” IEEE Commun. Lett., vol. 16, no. 6,pp. 828–830, Jun. 2012. 5. Yiyang, P, L. Ying-Chang, et al. "Energy-Efficient Design of Sequential Channel Sensing in Cognitive Radio Networks: Optimal Sensing Strategy, Power Allocation, and Sensing Order [J]," Selected Areas in Communications, IEEE Journal on 29(8): 1648-1659.2011. 6. L. Li, X. Zhou, H. Xu, Y. Li, D. Wang, and A. Soong, “Energy-efficient transmission in cognitive radio networks [J],” IEEE Trans. Broadcast.,vol. 57, no. 3, pp. 718–720, Sep. 2011. 7. Y. Wu and D. H. K. Tsang, “Energy-efficient spectrum and transmission for cognitive radio system [J],” IEEE Commun. Lett.. vol. 15, no. 5,pp. 545–547, May 2011. 8. Liying, L., Z. Xiangwei, et al,"Energy-Efficient Transmission in Cognitive Radio Networks[C]," Consumer Communications and Networking Conference (CCNC), 2010 7th IEEE. 9. Peh E, Liang Y-C, Guan Y L, et al. “Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks[C],” In IEEE Global Telecommunications Conference. Dec. 2011: 1 –5. 10. Shi Z, Teh K, Li K. “Energy-Efficient Joint Design of Sensing and Transmission Durations for Protection of Primary User in Cognitive Radio Systems [J],” IEEE Communications Letters. 2013, PP (99): 1 –4. 11. Laneman, J.N.; Tse, D.N.C.; Wornell, G.W, et al,"Cooperative Diversity in Wireless Networks:Efficient Protocols and Outage Behavior [J]," Informa tion Theory, IEEE Transactions on Volume: 50 , 2004 , Page(s): 3062 – 3080 12. C. Huang, R. Zhang, and S. Cui, “Throughput maximization for the gaussian relay channel with energy harvesting constraints [J],” IEEE J. Sel. Areas Commun., vol. 31, no. 8, pp. 1469–1479, Aug. 2013. 13. S. Park, H. Kim, and D. Hong, “Cognitive radio networks with energy harvesting [J],” IEEE Trans. Wireless Commun., vol. 12, no. 3, pp. 1386–1397, Mar. 2013. 14. S. Park and D. Hong, “Achievable throughput of energy harvesting cognitive radio networks[J],” IEEE Transactions on Wireless Communications; Feb2014, Vol. 13 Issue 2, p1010-1022, 13p.

Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

Energy efficiency optimization of cognitive relay network based on cooperative spectrum sensing

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

编辑推荐

Metrics

本文评价