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Cluster based Spectrum Sensing in Cognitive Radio Network with Optimal Number of Overlapping Antennas

  • Received : 2024.10.05
  • Published : 2024.10.30

Abstract

The success of cognitive radio network (CRN) depends upon the accurate spectrum sensing. The hidden and open terminal problems are serious threats in the way of reliable communication. Cluster based architecture with cooperative spectrum sensing is widely adapted to overcome these challenges. In this paper, we propose a cluster based architecture with overlapping antennas. The number of overlapping antennas increases the overall performance of the system by improving the accuracy of detection. But on the other hand the overlapping antennas, increases the over heads of the system as well. So in order to achieve a balance between efficiency and system overhead, optimal numbers of overlapping antennas are suggested in this paper. Mathematical model along with simulations are presented in this paper which guarantees the sufficient number of overlapping antennas in the cluster.

Keywords

References

  1. Hassan, Md Rakib, et al. "Exclusive use spectrum access trading models in cognitive radio networks: A survey." IEEE Communications Surveys & Tutorials 19.4 (2017): 2192-2231.. 
  2. Awin, Faroq A., et al. "Technical issues on cognitive radio-based Internet of Things systems: A survey." IEEE Access 7 (2019): 97887-97908. 
  3. Piran, Md Jalil, et al. "Multimedia communication over cognitive radio networks from QoS/QoE perspective: A comprehensive survey." Journal of Network and Computer Applications (2020): 102759. 
  4. Giordani, Marco, et al. "Toward 6g networks: Use cases and technologies." IEEE Communications Magazine 58.3 (2020): 55-61. 
  5. G. Hattab and M. J. P. o. t. I. Ibnkahla, "Multiband spectrum access: Great promises for future cognitive radio networks," vol. 102, no. 3, pp. 282-306, 2014. 
  6. Jayakumar, Loganathan, et al. "Energy efficient cooperative CRN spectrum sharing using multi-level hierarchical clustering with MCDM." International Journal of Communication Networks and Distributed Systems 22.2 (2019): 196-244. 
  7. Chatterjee, Sabyasachi, Prabir Banerjee, and Mita Nasipuri. "Enhancing localization accuracy of collaborative cognitive radio users by internal noise mitigation." Telecommunication Systems (2020): 1-20. 
  8. A. Zaeemzadeh, M. Joneidi, N. Rahnavard, G.-J. J. I. T. o. C. C. Qi, and Networking, "Co-SpOT: Cooperative spectrum opportunity detection using bayesian clustering in spectrum-heterogeneous cognitive radio networks," vol. 4, no. 2, pp. 206-219, 2017. 
  9. Bhatti, Dost Muhammad Saqib, et al. "Clustering formation in cognitive radio networks using machine learning." AEU-International Journal of Electronics and Communications 114 (2020): 152994. 
  10. Pei, Errong, et al. "A heterogeneous nodes-based low energy adaptive clustering hierarchy in cognitive radio sensor network." IEEE Access 7 (2019): 132010-132026. 
  11. Hossen, Md Arman, and Sang-Jo Yoo. "Q-Learning Based Multi-Objective Clustering Algorithm for Cognitive Radio Ad Hoc Networks." IEEE Access 7 (2019): 181959-181971. 
  12. Idoudi, Hanen, et al. "Cluster-based scheduling for cognitive radio sensor networks." Journal of Ambient Intelligence and Humanized Computing 10.2 (2019): 477-489. 
  13. Jayakumar, Loganathan, et al. "Energy efficient cooperative CRN spectrum sharing using multi-level hierarchical clustering with MCDM." International Journal of Communication Networks and Distributed Systems 22.2 (2019): 196-244. 
  14. Zhang, Shunchao, et al. "A Novel Clustering Algorithm Based on Information Geometry for Cooperative Spectrum Sensing." IEEE Systems Journal (2020). 
  15. Sumi, M. S., and R. S. Ganesh. "Energy-Conserving Cluster Method with Distance Criteria for Cognitive Radio Networks." Advances in Communication Systems and Networks. Springer, Singapore, 2020. 607-624. 
  16. K. Rina, S. Nath, N. Marchang, and A. J. I. S. J. Taggu, "Can clustering be used to detect intrusion during spectrum sensing in cognitive radio networks?," vol. 12, no. 1, pp. 938-947, 2016. 
  17. B. Shahrasbi, N. Rahnavard, and A. J. I. T. o. V. T. Vosoughi, "Cluster-CMSS: a cluster-based coordinated spectrum sensing in geographically dispersed mobile cognitive radio networks," vol. 66, no. 7, pp. 6378-6387, 2016. 
  18. W. Zhang, Y. Yang, and C. K. J. I. T. o. V. T. Yeo, "Cluster-based cooperative spectrum sensing assignment strategy for heterogeneous cognitive radio network," vol. 64, no. 6, pp. 2637-2647, 2014. 
  19. Y. B. Reddy, "Spectrum Detection in Cognitive Networks by Minimizing Hidden Terminal Problem," in 2012 Ninth International Conference on Information Technology-New Generations, 2012, pp. 77-82: IEEE. 
  20. F. A. Awin, E. Abdel-Raheem, and M. Ahmadi, "Agile hierarchical cluster structure-based cooperative spectrum sensing in cognitive radio networks," in 2014 26th International Conference on Microelectronics (ICM), 2014, pp. 48-51: IEEE. 
  21. K. M. Thilina, K. W. Choi, N. Saquib, and E. J. I. J. o. s. a. i. c. Hossain, "Machine learning techniques for cooperative spectrum sensing in cognitive radio networks," vol. 31, no. 11, pp. 2209-2221, 2013. 
  22. C. Guo, T. Peng, S. Xu, H. Wang, and W. Wang, "Cooperative spectrum sensing with cluster-based architecture in cognitive radio networks," in VTC Spring 2009-IEEE 69th Vehicular Technology Conference, 2009, pp. 1-5: IEEE. 
  23. L. Lazos, S. Liu, and M. Krunz, "Spectrum opportunity-based control channel assignment in cognitive radio networks," in 2009 6th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, 2009, pp. 1-9: IEEE. 
  24. T. Chen, H. Zhang, G. M. Maggio, and I. Chlamtac, "CogMesh: A cluster-based cognitive radio network," in 2007 2nd IEEE international symposium on new frontiers in dynamic spectrum access networks, 2007, pp. 168-178: IEEE. 
  25. Z. Bai, L. Wang, H. Zhang, and K. Kwak, "Cluster-based cooperative spectrum sensing for cognitive radio under bandwidth constraints," in 2010 IEEE International Conference on Communication Systems, 2010, pp. 569-573: IEEE. 
  26. T. D. Hieu, S.-G. J. S. M. P. Choi, and Theory, "Simulation modeling and analysis of the hop count distribution in cognitive radio ad-hoc networks with shadow fading," vol. 69, pp. 43-54, 2016. 
  27. O. A. H. Al-Tameemi and M. J. C. C. Chatterjee, "Capacity of finite secondary cognitive radio networks: Bounds and optimizations," vol. 113, pp. 62-77, 2017. 
  28. M. S. Miah, H. Yu, T. K. Godder, and M. M. J. I. J. o. D. S. N. Rahman, "A cluster-based cooperative spectrum sensing in cognitive radio network using eigenvalue detection technique with superposition approach," vol. 11, no. 7, p. 207935, 2015. 
  29. M. S. Miah, M. M. Rahman, and H. J. T. G. W. N. A. P. L. P. Yu, "Superallocation and Cluster-Based Cooperative Spectrum Sensing in 5G Cognitive Radio Network," p. 193, 2016. 
  30. N. T. Do and B. J. S. An, "A soft-hard combination-based cooperative spectrum sensing scheme for cognitive radio networks," vol. 15, no. 2, pp. 4388-4407, 2015. 
  31. D. Kaur, "A solution to the hidden node problem in cognitive radio networks," in 2017 4th International Conference on Signal Processing, Computing and Control (ISPCC), 2017, pp. 16-20: IEEE. 
  32. S. Chatterjee, S. P. Maity, and T. J. I. S. J. Acharya, "Energy efficiency in cooperative cognitive radio network in the presence of malicious users," vol. 12, no. 3, pp. 2197-2206, 2016. 
  33. M. Hussain, P. J. I. J. o. E. Tripathi, and M. Research, "A cluster based selective cooperative spectrum sensing technique for cognitive radio network," vol. 7, no. 2, pp. 8-12, 2017. 
  34. E. Ahmed, A. Gani, S. Abolfazli, L. J. Yao, S. U. J. I. C. S. Khan, and Tutorials, "Channel assignment algorithms in cognitive radio networks: Taxonomy, open issues, and challenges," vol. 18, no. 1, pp. 795-823, 2014. 
  35. R. R. Jaglan, S. Sarowa, R. Mustafa, S. Agrawal, and N. J. P. C. S. Kumar, "Comparative study of single-user spectrum sensing techniques in cognitive radio networks," vol. 58, no. 2015, pp. 121-128, 2015. 
  36. C. Sun, W. Zhang, and K. B. Letaief, "Cluster-based cooperative spectrum sensing in cognitive radio systems," in 2007 IEEE international conference on communications, 2007, pp. 2511-2515: IEEE. 
  37. I. F. Akyildiz, B. F. Lo, and R. J. P. c. Balakrishnan, "Cooperative spectrum sensing in cognitive radio networks: A survey," vol. 4, no. 1, pp. 40-62, 2011. 
  38. P. Venkateswaran, S. Shaw, S. Pattanayak, and R. Nandi, "Cognitive radio ad-hoc networks: some new results on multi-channel hidden terminal problem," 2012. 
  39. L. Wang, K. Wu, and M. J. I. T. o. W. C. Hamdi, "Combating hidden and exposed terminal problems in wireless networks," vol. 11, no. 11, pp. 4204-4213, 2012. 
  40. U. Mir, Z. A. J. J. o. N. Bhatti, and C. Applications, "Time triggered handoff schemes in cognitive radio networks: A survey," vol. 102, pp. 71-85, 2018. 
  41. S. Verma and M. Chawla, "A survey on spectrum mobility in cognitive radio network," in IJCA, 2015, vol. 119, no. 18, pp. 33-36. 
  42. T. Aboufoul, A. Alomainy, C. J. I. J. o. A. Parini, and Propagation, "Reconfigured and notched tapered slot UWB antenna for cognitive radio applications," vol. 2012, 2012. 
  43. T. Aboufoul, C. Parini, X. Chen, A. J. I. T. o. A. Alomainy, and Propagation, "Pattern-reconfigurable planar circular ultra-wideband monopole antenna," vol. 61, no. 10, pp. 4973-4980, 2013. 
  44. T. Aboufoul, A. Alomainy, C. J. I. A. Parini, and W. P. Letters, "Reconfiguring UWB monopole antenna for cognitive radio applications using GaAs FET switches," vol. 11, pp. 392-394, 2012. 
  45. T. Aboufoul, A. Alomainy, C. J. M. Parini, and O. T. Letters, "Polarization reconfigurable ultrawideband antenna for cognitive radio applications," vol. 55, no. 3, pp. 501-506, 2013. 
  46. F. Z. Benidris, Benmammar, B., Merghem-Boulahia, L., & Esseghir, M., "An Efficient Cluster-based Routing Protocol in Cognitive Radio Net-work," arXiv:1606.05887, 2016.