KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Green Cooperative Sensing Scheme in Heterogeneous Networks

  • Shen, Lifei (School of Machnical Electronic & Information Engineering, China University of Mining & Technology) ;
  • Liu, Jian (School of Computer & Communication Engineering, University of Science and Technology Beijing) ;
  • Tan, Xinxin (School of Computer & Communication Engineering, University of Science and Technology Beijing) ;
  • Wang, Lei (School of Computer & Communication Engineering, University of Science and Technology Beijing)
  • Received : 2017.01.27
  • Accepted : 2017.09.28
  • Published : 2018.02.28
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Abstract

Cognitive radio technology is still the key technology of future mobile communication systems. Previous studies have focused on improving spectrum utilization and less energy consumption. In this paper, we propose an Overhead Reduced Scheme (ORS) for green cooperative spectrum sensing. Compared to traditional cooperative sensing scheme, ORS scheme divides the sensing time into three time slots and selects the best multi-mode user to report decisions. In consideration of reporting channel deviation, we derive closed-form expressions for detection probability and false alarm probability of ORS scheme based on Rayleigh fading channel. Simulation results show that ORS scheme can improve the perception accuracy while reducing the perceived delay and energy consumption in the process of perception, so as to realize the green communication.

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References

  1. Y. S. Soh, T. Q. S. Quek, M. Kountouris, H. Shin, "Energy Efficient Heterogeneous Cellular Networks," IEEE J. Sel. Areas Commun, Vol. 31, No. 5, pp. 840-850, May 2013. https://doi.org/10.1109/JSAC.2013.130503
  2. G. D. Yu, Y. H. Jiang, L. K. Xu, G. Y. Li, "Multi-Objective Energy-Efficient Resource Allocation for Multi-RAT Heterogeneous Networks," IEEE J. Sel Areas Commun, Vol. 33, No. 10, pp. 2118-2127, Oct. 2015. https://doi.org/10.1109/JSAC.2015.2435374
  3. H. C. Wu, X. F. Tao, N. Li, J. Xu, "Secrecy Outage Probability in Multi-RAT Heterogeneous Networks," IEEE Communication Letters, Vol. 20, No. 1, pp. 53-56, Jan. 2016. https://doi.org/10.1109/LCOMM.2015.2499748
  4. C. L. I, C. Rowell, S. F. Han, et al. "Toward green and soft: a 5G perspective," IEEE Commun. Mag, Vol. 52, No. 2, pp. 66-73, Feb. 2014. https://doi.org/10.1109/MCOM.2014.6736745
  5. A. Celik, A. E. Kamal, "Green Cooperative Spectrum Sensing and Scheduling in Heterogeneous Cognitive Radio Networks," IEEE Transactions on Cognitive Communications and Networking, Vol. 2, No. 3, pp. 238-248, Sept. 2016. https://doi.org/10.1109/TCCN.2016.2608337
  6. Y. H. Choi, Y. Lee, J. M. Cioffi, "Optimization of Cooperative Inter-Operability in Heterogeneous Networks with Cognitive Ability," IEEE Communications Letters, Vol. 15, No. 11, pp. 1178-1180, Nov. 2011. https://doi.org/10.1109/LCOMM.2011.092011.111099
  7. C. G. Yang, J. Yue, M. Sheng, J. D. Li, "Tradeoff between energy-efficiency and spectral-efficiency by cooperative rate splitting," Journal of Communications and Networks, Vol. 16, No. 2, pp. 121-129, Apr. 2014. https://doi.org/10.1109/JCN.2014.000022
  8. A. Celik, A. E. Kamal, " More spectrum for less energy: Green cooperative sensing scheduling in CRNs," IEEE International Conference on Communications, pp. 62-67, Sept. 2015.
  9. M. Pirmoradian, O. Adigun, C. Politis, "An analytical evaluation of energy consumption in cooperative cognitive radio networks," Building Sustainable Communities, pp. 1-6, Apr. 2013.
  10. A. Singh, M. R. Bhatnagar, R. K. Mallik, "Threshold optimization of a finite sample-based cognitive radio network using energy detector," EURASIP Journal on Wireless Communications and Networking, Vol. 2013.
  11. A. Singh, M. R. Bhatnagar, R. K. Mallik, "Threshold Optimization of Finite Sample Based Cognitive Radio Network," National Conference on Communications (NCC), Feb. 2012.
  12. A. Bagwari, B. Singh, "Comparative Performance Evaluation of Spectrum Sensing Techniques for Cognitive Radio Networks," IEEE International Conference on Computational Intelligence and Communication Networks, pp. 98-105, 2012.
  13. S. J. Shellhammer, "Spectrum Sensing in IEEE 802.22," IAPR Wksp. Cognitive Info. Processing, 2008.
  14. Y. Pei, Y. Liang, K. C. Teh, K. H. Li, "Sensing-throughput tradeoff for cognitive radio networks: A multiple-channel scenario," IEEE Trans, Vol. 7, No. 4, pp. 1326-1337, Apr. 2008.
  15. J. Zhang, F. C. Zheng, X. Q. Gao, H. B. Zhu, "Sensing-energy efficiency tradeoff for cognitive radio networks," IET Communications, Vol. 8, No. 18, pp. 3414-3423, Dec. 2014. https://doi.org/10.1049/iet-com.2014.0400
  16. A. Celik, A. E. Kamal, "Multi-Objective Clustering Optimization for Multi-Channel Cooperative Spectrum Sensing in Heterogeneous Green CRNs," IEEE Trans, Vol. 2, No. 2, pp. 150-161, Jun. 2016.
  17. A. Bagvari, G. S. Tomar, S. Verma, "Cooperative Spectrum Sensing Based on Two-Stage Detectors With Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks," Wireless Personal Communications, Vol. 70, No. 4, pp. 1-5, 2013. https://doi.org/10.1007/s11277-012-0675-6
  18. A. Bagwari, G. S. Tomar, S. Verma, "Cooperative Spectrum Sensing Based on Two-Stage Detectors With Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks, " Canadian Journal of Electrical and Computer Engineering, Vol. 36, No. 4, pp. 172-180, 2014. https://doi.org/10.1109/CJECE.2014.2303519
  19. A. Bagwari, G. S. Tomar, "Two-Stage Detectors with Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks," International Journal of Distributed Sensor Networks, Vol. 9, No. 8, pp. 1-8, 2013.
  20. A. Singh, M. R. Bhatnagar, R. K. Mallik, "Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector," IEEE Communications Letters, Vol. 16, No. 1, pp. 64-67, 2012. https://doi.org/10.1109/LCOMM.2011.103111.111884
  21. J. Kanti, G. S. Tomar, "Improved sensing detector for wireless regional area networks," the International Journal of Cogent Engineering, Vol. 4, No. 1, Jan. 2017.
  22. J. Wei, X. Zhang, "Energy-Efficient Distributed Spectrum Sensing for Wireless Cognitive Radio Networks," INFOCOM, IEEE Conference on Computer Communications Workshops, Mar. 2010.
  23. G. Sharma, R. Sharma, "A review on recent advances in spectrum sensing, energy efficiency and security threats in cognitive radio network," Microwave, Optical and Communication Engineering International Conference, pp. 114-117, Dec. 2015.
  24. M Jo, T Maksymyuk, R L Batista, "Survey of Converging Solutions for heterogeneous Mobile Networks," IEEE Wireless Communications, Vol. 21, No. 8, pp. 54-62, Dec. 2014.
  25. M Jo, L Han, D. kim, "Selfish Attacks and Detections in Cognitive Radio Ad-hoc Networks," IEEE Network, Vol. 27, No. 3, pp. 46-50, Jun. 2013. https://doi.org/10.1109/MNET.2013.6523808
  26. Y. Liu, S. Xie, Y. Zhang, et al., "Energy-efficient spectrum discovery for cognitive radio green networks," Mobile networks and applications, Vol. 17, No. 1, pp. 64-74, 2012. https://doi.org/10.1007/s11036-011-0307-5
  27. Z Dai, J. Liu, K. Long, "Selective-Reporting-Based Cooperative Spectrum Sensing Strategies for Cognitive Radio Networks," IEEE Trans, Vol. 64, No. 7, pp. 3043-3055, 2015.
  28. C. Yang, J. Yue, M. Sheng, et al. "Tradeoff between energy-efficiency and spectral-efficiency by cooperative rate splitting," Journal of Communications and Networks, Vol. 16, No. 2, pp. 121-129, 2014. https://doi.org/10.1109/JCN.2014.000022
  29. P. Lin, J. Jia, Q. Zhang, et al. "Dynamic spectrum sharing with multiple primary and secondary users," IEEE Trans, Vol. 60, No. 4, pp. 1756-1765, 2011.
  30. Y. Chen, S. Zhang, S. Xu, et al. "Fundamental trade-offs on green wireless networks," IEEE Commun. Mag, Vol. 49, No. 6, pp. 30-37, 2011. https://doi.org/10.1109/MCOM.2011.5783982