Intelligent Process of Spectrum Handoff in Cognitive Radio Network

Authors

  • Emmanuel Alozie Department of Telecommunication Science, University of Ilorin, Nigeria.
  • Faruk Nasir Department of Physics, Sule Lamido University, Kafin Hausa, Nigeria. Directorate of ICT, SLU
  • Abdulkarim Oloyede Department of Telecommunication Science, University of Ilorin, Nigeria
  • Olugbenga Sowande Department of Telecommunication Science, University of Ilorin, Nigeria
  • Agbotiname Imoize Department of Electrical and Electronics Engineering, University of Lagos, Nigeria
  • Abubakar Abdulkarim Department of Electrical and Electronics Engineering, Ahmadu Bello University Zaria, Nigeria
  • Salisu Garba Department of Computer Science Sule Lamido University, KH, Nigeria

DOI:

https://doi.org/10.56471/slujst.v4i1&2.268

Keywords:

Cognitive Radio Network, Spectrum Handoff, Fuzzy Logic, Handoff Delay

Abstract

Spectrum handoff is a crucial function of Cognitive Radio (CR) which is the change of operating frequency. The main problem in spectrum handoff is the time taken in the searching, selection, and switching to a new available channel which can cause a significant amount of delay during spectrum handoff. This research aims to minimize the delay that occurs during spectrum handoff. A Proactive Fuzzy-Based Backup Channel Selection Scheme (PFBBCSS) was proposed where the Secondary User (SU) gathers backup channels in advance before the return of the Primary User (PU), then fuzzy logic would be used for the selection of the best channel out of the available backup channels. The proposed scheme was simulated and evaluated using the MATLAB Simulation tool and the result was compared with a Pure Proactive Spectrum Handoff Scheme. Results showed, in terms of throughput and efficient time utilization under a varying number of licensed channels, that the proposed scheme performed better, making it a good mechanism to be used for handoff decisions by the Secondary User (SU).

References

Adediran, Y. A., Kolade, O., Faruk, N., Surajudeen-Bakinde, N. T., Ayeni, A. A., & Bello, O. W. (2014). TV white space in Nigeria in UHF band: Geo-spatial approach. 2014 IEEE 6th International Conference on Adaptive Science & Technology (ICAST). CrossRef Alhammadi, A., Roslee, M., & Alias, M. Y. (2016). Fuzzy logic-based negotiation approach for spectrum handoff in the cognitive radio network. 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT). Published. CrossRef

Ali, A., Abbas, L., Shafiq, M., Bashir, A. K., Afzal, M. K., Liaqat, H. B., Siddiqi, M. H., & Kwak, K. S. (2019). Hybrid Fuzzy Logic Scheme for Efficient Channel Utilization in Cognitive Radio Networks. IEEE Access, 7, pp 24463–24476. CrossRef

Babalola, O.D., Emoseh Garba, O.I. Temitope, A.S. Bamiduro, Faruk. N, O.A. Sowande, O.W. Bello, A.A.Ayeni, and M.Y. Muhammad (2015a),” Short-Term Variation of Duty Cycle in the VHF and UHF Bands”, in proc. IEEE International Conference on Cyberspace, Abuja, 4-7 Nov. 2015, pp 197-201.

Babalola, O., Garba, E., Oladimeji, I., Bamiduro, A., Faruk, N., Sowande, O., Bello, O., Ayeni, A., & Muhammad, M. (2015b). Spectrum occupancy measurements in the TV and CDMA bands. 2015 International Conference on Cyberspace (CYBER-Abuja). CrossRef

Bayrakdar, M. E., & Calhan, A. (2015). Fuzzy logic-based spectrum handoff decision for prioritized secondary users in cognitive radio networks. 2015 Fifth International Conference on Digital Information Processing and Communications (ICDIPC), 71–76. CrossRef

Faruk, N., Ali, M., & Gumel, I. (2012). Interference Mitigation MAC Protocol for Cognitive Radio Networks. Wireless Engineering and Technology, 03(02), 63–71. CrossRef

Faruk, N., Gumel, M. I., Oloyode, A. A., & Ayeni, A. A. (2013). Performance Analysis of Hybrid MAC Protocol for Cognitive Radio Networks. International Journal of Communications, Network and System Sciences, 06(01), 18–28. CrossRef

Faruk, N., Surajudeen‐Bakinde, N. T., Kolade, O., Ayeni, A. A., & Adediran, Y. A. (2014). DTV protection regions for spectrum sharing. The Journal of Engineering, 2014(9), 505–507. CrossRef

Faruk, N.., Y.A. Adediran, A. A. Ayeni, O. Kolade, N.T.Surajudeen-Bakinde and O.W.Bello, (2015) “Geo-spatial Approach to Quantifying TV White Space in Nigeria in the UHF Band”, JNIT: Journal of Next Generation Information Technology, Published by Advanced Institute of Convergence Information Technology Research Center, South Korea, (Scopus Indexed) Vol. 6, No. 4, pp. 1-13, 2015. CrossRef

Faruk, N., Bello, O. W., Sowande, O., Onidare, S., Muhammad, M., & Ayeni, A. (2016). Large scale spectrum survey in rural and urban environments within the 50 MHz–6 GHz bands. Measurement, 91, 228–238. CrossRef

Faruk, N., Surajudeen-Bakinde, N. T., Oloyede, A. A., Bello, O. O., Popoola, S. I., Abdulkarim, A., & Olawoyin, L. A. (2017). On green virtual clinics: A framework for extending health care services to rural communities in Sub-Saharan Africa. 2017 International Rural and Elderly Health Informatics Conference (IREHI). CrossRef

Faruk, N., Adebowale. Q. R., Popoola, S.I., Oloyede. A. A, Olawoyin, L.A., Surajudeen-Bakinde, N.T., Abdulkarim.A and Adediran, Y.A (2018a): Spectrum Survey and Coexistence Studies in the TV, WLAN, ISM and Radar Bands for Mobile Broadband Services, IEEE International Rural and Elderly Health Informatics Conference (IREHI), Thierry Edoh, Solomiia Fedushko, Jules Degila, Yuriy Syerov (eds) 1-8. Published by CEUR, Technical University of Aachen (RWTH). CrossRef

Faruk, N., T. Surajudeen-Bakinde, A. A. Ayeni, O. W. Bello, and O. A. Fadipe-Joseph, (2018b) “Technology Options for Public Safety and Disaster Relief Networks”, AZOJETE, vol. 14, no. 1, pp. 1-25. CrossRef

Faruk, N., Imam-Fulani, Y., Sikiru, I. A., Oloyede, A. A., Adebowale, Q. R., Olawoyin, L. A., Abdulkarim, A., & Adediran, Y. A. (2019). Spatial Variability Study of Duty Cycle in GSM 900 and 1800 MHz Bands in Rural and Urban Environments. Indonesian Journal of Electrical Engineering and Informatics (IJEEI), 7(3). CrossRef

Faruk, N., Surajudeen-Bakinde, N., Abdulkarim, A., Oloyede, A. A., Olawoyin, L., Bello, O. W., Popoola, S. I., & Edoh, T. O. (2020). Rural Healthcare Delivery in Sub-Saharan Africa. International Journal of Healthcare Information Systems and Informatics, 15(3), 1–21. CrossRef

Giupponi, L., & Perez-Neira, A. I. (2008). Fuzzy-based Spectrum Handoff in Cognitive Radio Networks. 2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008). CrossRef

Ishola, G. A., Segun, B. V., Faruk, N., Adewole, K. S., Oloyede, A. A., Olawoyin, L. A., & Jimoh, R. G. (2019). Temporal Variation of Duty Cycle in the GSM Bands. 2019 2nd International Conference of the IEEE Nigeria Computer Chapter (NigeriaComputConf). CrossRef Kaur, P., Udin, M., & Khosla, A. (2009). An efficient spectrum mobility management strategy in cognitive radio networks. 2009 First UK-India International Workshop on Cognitive Wireless Systems (UKIWCWS). Published. CrossRef

Kaur, M. J., Uddin, D. M., & Verma, D. H. (2010). Analysis of Decision-Making Operation in Cognitive Radio Using Fuzzy Logic System. International Journal of Computer Applications, 4(10), pp 35–39. CrossRef

Published

2022-07-20