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Hybrid Fuzzy Logic Engine for Ping-Pong Effect Reduction in Cognitive Radio Network

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Abstract

The spectrum is a scarce resource and shall be used efficiently. It is observed that fixed spectrum allocation techniques, currently in use, may not be able to accommodate increased number of users trying simultaneously to access the network. Researches suggest that this problem of spectrum scarcity can be addressed by cognitive radio networks; which permits the dynamic use of spectrum. One of the basic requirements of dynamic spectrum access in cognitive radio network is spectrum handoff. There is an associated issue with frequent spectrum handoffs and that is of the ping-pong ect. The ping-pong ect is caused due to the motion of mobile users between the adjacent cells, thus, initiating unnecessary spectrum handoffs. The purpose of this study is to develop and analyse a system that has the ability to perform cient decision about the execution of spectrum handoffs and in turn reduce the chances of ping-pong ect. Therefore, a fuzzy logic based system has been developed in a cognitive radio WLAN and UMTS environment and handoff is investigated between primary and secondary users. Our proposed hybrid system uses a two-stage fuzzy logic controller to reduce the number of ping-pong handoffs. In the rst stage, the system is designed to control the power of SU and to avoid any interference to PU. In the second stage, the system is designed to take the decision to execute handoff.

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References

  1. Cabric, D., Mishra, S. M., & Brodersen, R. W. (2004). Implementation issues in spectrum sensing for cognitive radios. In Conference record of the thirty-eighth Asilomar conference on signals, systems and computers (Vol. 1, pp. 772–776).

  2. Akyildiz, I. F., Lee, W. Y., Vuran, M. C., & Mohanty, S. (2006). NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey. Computer Networks Journal, 50(13), 2127–2159.

    Article  Google Scholar 

  3. Spectrum policy task force report, Federal Communications Commission ET Docket 02-135, 2002.

  4. Haykin, S. (2005). Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas Communications, 3(2), 201–220.

    Article  Google Scholar 

  5. ET Docket No 03-322 Notice of Proposed Rule Making and Order, 2003.

  6. Alviola, T. (2013). Energy efficiency in wireless networks, Master’s Thesis, Department of Mathematical Information Technology, University of Jyvskyl.

  7. Aguilar-Gonzalez, R., Cardenas-Juarez, M., Pineda-Rico, U., Arce, A., Latva-aho, M., & Stevens-Navarro, E. (2016). Reducing spectrum handoffs and energy switching consumption of MADM-based decisions in cognitive radio networks. Mobile Information Systems, 2016, 1–14.

    Article  Google Scholar 

  8. Ahmed, E., Gani, A., Abolfazli, S., Yao, L., & Khan, S. (2016). Channel assignment algorithms in cognitive radio networks: Taxonomy open issues and challenges. IEEE Communications Surveys Tutorials, 18(1), 788–816.

    Article  Google Scholar 

  9. Vinay, V. R. G. & Prabhavalkar, S. (2015). A novel approach to reduce the spectral ping-pong effect for the mobility management framework in a cognitive radio cellular network. In: ICGST-ACSE (Vol. 15).

  10. Lee, W. (2007). Movement-aware vertical handoff of WLAN and mobile WiMAX for seamless ubiquitous access. IEEE Transactions Consumer Electronics, 53(4), 1268–1275.

    Article  Google Scholar 

  11. Kim, H., & Shin, K. G. (2008). Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Transactions on Mobile Computing, 7(5), 533–545.

    Article  Google Scholar 

  12. Mitola, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radios more personal. IEEE Personal Communications, 6, 13–18.

    Article  Google Scholar 

  13. Thomas, R. W., DaSilva, L. A., & Mackenzie, A. B. (2005). Cognitive networks. In Proceedings of the IEEE DySPAN 2005 (pp. 352–360).

  14. Wang, L.-C., Wang, C.-W., & Chang, C.-J. (2012). Optimal target channel sequence design for multiple spectrum handoffs in cognitive radio networks. IEEE Transaction Communications, 60(9), 2444–2455.

    Article  Google Scholar 

  15. Weiss, T., & Jondral, F. (2004). Spectrum pooling: An innovative strategy for enhancement of spectrum efficiency. IEEE Communications Magazine, 42, 8–14.

    Article  Google Scholar 

  16. Akyildiz, I. F. (2008). A survey on spectrum management in cognitive radio networks. IEEE Communications Magazine, 46(4), 40–48.

    Article  Google Scholar 

  17. Wyglinski, A., Nekovee, M., & Hou, Y. (2010). Cognitive radio communications and networks principles and practice. Amsterdam: Elsevier.

    Google Scholar 

  18. Gambini, J., Simeone, O., Spagnolini, U., Bar-Ness, Y., & Kim, Y. (2008) Cognitive radio with secondary packet-by-packet vertical handove. In IEEE international conference on communications (ICC),

  19. Hu, W., Willkomm, D., Abusubaih, M., Gross, J., Vlantis, G., Gerla, M., et al. (2007). Dynamic frequency hopping communities for efficient IEEE 802.22 operation. IEEE Communications Magazine, 45(5), 80–87.

    Article  Google Scholar 

  20. Wang, C.-W., & Wang, L.-C. (2012). Analysis of reactive spectrum handoff in cognitive radio networks. IEEE Journal on Selected Areas in Communications, 30(10), 2016–2028.

    Article  Google Scholar 

  21. Giupponi, L., & Perez-Neira, A. I. (2008). Fuzzy-based spectrum handoff in cognitive radio networks. In Proceedings of the international conference on cognitive radio oriented wireless networks and communications (CrownCom).

  22. Wong, K. D., & Cox, D. C. (2000). A pattern recognition system for handoff algorithms. IEEE Journal on Selected Areas Communications, 18(7), 1301–1312.

    Article  Google Scholar 

  23. Barolli, L., Xhafa, F., Durresi, A., & Koyama, A. (2008). A fuzzy-based handover system for avoiding ping-pong effect in wireless cellular networks. In International conference on parallel processing-workshops 2008 (pp. 135–142). Portland, USA.

  24. Lala, N. A., Uddin, M., & Sheikh, N. A. (2013). Novel spectrum handoff in cognitive radio networks using fuzzy logic. International Journal of Information Technology and Computer Science, 5, 103–110.

    Article  Google Scholar 

  25. Ekiz, N., Salih, T., Kkner, S., & Fidanboylu, K. (2005). An overview of handoff techniques in cellular networks. International Journal on Information Technology, 2(3), 132–136.

    Google Scholar 

  26. Liao, H., Tie, L., & Du, Z. A vertical handover decision algorithm based on fuzzy control theory. In Proceedings of the IMSCCS-06.

  27. Xiyun, Z. H. I., Juhu, L. I., Peng, C., & Weiling, W. U. (2012). A fuzzy logic based handoff technique in cognitive radio network. International Journal on Advances in Information Sciences and Service Sciences, 4, 283–295.

    Google Scholar 

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Authors and Affiliations

  1. FICT, BUITEMS, Quetta, Pakistan

    Bushra Naeem, Sarah Javed, Mumraiz K. Kasi & Kamran A. Sani

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  1. Bushra Naeem
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  2. Sarah Javed
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  3. Mumraiz K. Kasi
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  4. Kamran A. Sani
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Correspondence to Bushra Naeem.

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Bushra Naeem declares that she has no conflict of interest. Sarah Javed declares that she has no conflict of interest. Mumraiz Kasi declares that he has no conflict of interest. Kamran Sani declares that he has no conflict of interest.

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Naeem, B., Javed, S., Kasi, M.K. et al. Hybrid Fuzzy Logic Engine for Ping-Pong Effect Reduction in Cognitive Radio Network. Wireless Pers Commun 116, 177–205 (2021). https://doi.org/10.1007/s11277-020-07710-7

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  • DOI: https://doi.org/10.1007/s11277-020-07710-7

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