KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
권호 표지
DOI QR코드

DOI QR Code

On the Performance of Cooperative Spectrum Sensing of Cognitive Radio Networks in AWGN and Rayleigh Fading Environments

  • Saad, Wasan Kadhim (Department of Electronics, Electrical and System Engineering, Faculty of Engineering and Build Environment, Universiti Kebangsaan Malaysia) ;
  • Ismail, Mahamod (Department of Electronics, Electrical and System Engineering, Faculty of Engineering and Build Environment, Universiti Kebangsaan Malaysia) ;
  • Nordin, Rosdiadee (Department of Electronics, Electrical and System Engineering, Faculty of Engineering and Build Environment, Universiti Kebangsaan Malaysia) ;
  • El-Saleh, Ayman A. (Faculty of Engineering, Multimedia University)
  • Received : 2013.04.24
  • Accepted : 2013.08.08
  • Published : 2013.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

For the purpose of enhancing the spectrum efficiency, cognitive radio (CR) technology has been recently proposed as a promising dynamic spectrum allocation paradigm. In CR, spectrum sensing is the key capability of secondary users in a cognitive radio network that aims for reducing the probability of harmful interference with primary users. However, the individual CRs might not be able to carry out reliable detection of the presence of a primary radio due to the impact of channel fading or shadowing. This paper studies the cooperative spectrum sensing scheme as means of optimizing the sensing performance in AWGN and Rayleigh channels. Results generated from simulation provide evidence of the impact of channel condition on the complementary receiver operating characteristic (ROC). Based on the results, it was found that with constant local SNRs at the secondary users, the probability of missed detection ($P_m$) of cooperative spectrum sensing in a cognitive radio network, calculated using a closed form expression, can be significantly minimized. Thus, the paper illustrates that improvement of the detection performance of the CR network can be achieved by establishing a centralized cooperation among neighboring cognitive radio users. Finally, verification of the validity of the fusion schemes utilized for combining the individual CR decisions is provided.

Keywords

References

  1. Lan F. Akyildiz, Brandon F. Lo and Ravikumar Balakrishnan, "Cooperative spectrum sensing in cognitive radio networks: A survey," Physical Communication Journal, vol. 4, pp. 40-62, 2011. https://doi.org/10.1016/j.phycom.2010.12.003
  2. Yunfei Chen and Beaulieu N.C., "Performance of Collaborative Spectrum Sensing for Cognitive Radio in the Presence of Gaussian Channel Estimation Errors," IEEE transactions on communications, vol. 57, no. 7, pp. 1944-1947, 2009. https://doi.org/10.1109/TCOMM.2009.07.070166
  3. Zhang Yu, Yang Wen-dong and Cai Yue-ming, "Cooperative Spectrum Sensing Technique," in Proc. IEEE International Conference on Wireless Communications, Networking and Mobile Computing (WiCom), pp. 1167-1170, 2007. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=4340073
  4. Cabric D., Mishra S.M. and Brodersen R.W., "Implementation Issues in Spectrum Sensing for Cognitive Radios," in Proc. IEEE Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp.772-776, 2004. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=1399240
  5. Ying-Chang Liang, Yonghong Zeng, Peh E.C.Y and Anh Tuan Hoang, "Sensing-Throughput Tradeoff for Cognitive Radio Networks," IEEE Transactions on wireless communication, vol. 7, no. 4, pp.1326-1337, 2008. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=4489760 https://doi.org/10.1109/TWC.2008.060869
  6. Wei Zhang, Mallik R.K. and Letaief K., "Optimization of Cooperative Spectrum Sensing with Energy Detection in Cognitive Radio Networks," IEEE Transaction on Wireless Communications, vol.8,no.12,pp.5761-5766,2009. https://doi.org/10.1109/TWC.2009.12.081710
  7. Singh A., Bhatnagar R.M. and Mallik K.R., "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
  8. Dilip S. Aldar, "Centralized Integrated Spectrum Sensing for Cognitive Radios," International Journal of Computer Science & Communication (IJCSC), vol. 1, no. 2, pp. 277-279, 2010. http://arxiv.org/ftp/arxiv/papers/1212/1212.0116.pdf
  9. Peh E.C.Y., Ying-Chang L., Yong-Liang Guan, Yonghong Zeng, "Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Scheme," in Proc. of IEEE 71st Vehicular Technology Conference (VTC 2010-Spring ), pp. 1-5, 2010. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=5494011
  10. Digham F.F., Alouini M.S. and Simon Marvin K., "On the Energy Detection of Unknown Signals over Fading Channels," IEEE Transactions on Communications, vol. 55, no. 1, pp. 21-24, 2007. https://doi.org/10.1109/TCOMM.2006.887483
  11. Atapattu S., Tellambura C. and Hai Jiang, "Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks," IEEE Transactions on Wireless Communications, vol. 10, no. 4, pp.1232-1241,2011. https://doi.org/10.1109/TWC.2011.012411.100611
  12. Lin Xiao, Kai Liu and Lin Ma, "A Weighted Cooperative Spectrum Sensing in Cognitive Radio Networks," in Proc. of IEEE International Conference on Information Networking and Automation (ICINA), vol. 2, pp. V2-45 - V2-48, 2010. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=5636781
  13. Zhi Quan, Shuguang Cui and Sayed A.H., "Optimal Linear Cooperative for Spectrum Sensing in Cognitive Radio Networks," IEEE journal of selected topics in signal processing, vol. 2, no. 1, pp. 28-40, 2008. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=4453893 https://doi.org/10.1109/JSTSP.2007.914882
  14. Lei Zhang and Shuquan Xia, "A New Cooperative Spectrum Sensing Algorithm for Cognitive Radio Networks," in Proc. of IEEE- ISECS International Colloquium on Computing, Communication, Control, and Management (CCCM), vol. 1, pp. 107-110, 2009. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=5268140
  15. Wang Yue, Chunyan Feng, Zhimin Zeng, and Caili Guo, "A Robust and Energy Efficient Cooperative Spectrum Sensing Scheme in Cognitive Radio Networks," in Proc. of IEEE- 11th International Conference on Advanced Communication Technology (ICACT), vol. 1, pp. 640-645, 2009. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=4810033
  16. Pramod K. Varshney and C.S. Burrus, "Distributed Detection and Data Fusion," Springer Verlag, ISBN0-387-94712-4,1997.
  17. Hai-peng Yao, Zheng Zhou, Xuan Sun and Bin Li, "Location based spectrum sensing performance analysis over fading channels in cognitive radio networks," Science Direct Journal, vol. 17, no. 5, pp. 26-31, 2010. http://www.sciencedirect.com/science/article/pii/S1005888509605033
  18. Yaqin Zhao, Shuying Li, Nan Zhao, and Zhilu Wu, "A Novel Energy Detection Algorithm for Spectrum Sensing in Cognitive Radio," Information Technology Journal, vol. 9, no. 8, pp. 1659-1664,2010. https://doi.org/10.3923/itj.2010.1659.1664
  19. Jiaqi Duan and Yong Li, "Performance Analysis of Cooperative Spectrum Sensing in Different Fading Channels," in Proc. of IEEE 2nd International Conference on Computer Engineering and Technology (ICCET), vol. 3, pp. V3-64 - V3-68, 2010. http://ieeexplore.ieee.org.www.ezplib.ukm.my/stamp/stamp.jsp?tp=&arnumber=5485771

Cited by

  1. A Simple $N^{th}$ Best-Relay Selection Criterion for Opportunistic Two-Way Relay Networks under Outdated Channel State Information vol.8, pp.10, 2013, https://doi.org/10.3837/tiis.2014.10.007
  2. Cooperative Spectrum Sensing for Cognitive Radio Networks with Limited Reporting vol.9, pp.8, 2013, https://doi.org/10.3837/tiis.2015.08.001
  3. Two-Stage Spectrum Sensing Scheme Using Fuzzy Logic for Cognitive Radio Networks vol.14, pp.1, 2016, https://doi.org/10.6109/jicce.2016.14.1.001
  4. Comprehensive Spectrum Management for Heterogeneous Networks in LTE-U vol.23, pp.6, 2016, https://doi.org/10.1109/mwc.2016.1600042wc