Cognitive Radio Based Optimal Channel Sensing for Resource Allocation in Communications

Authors

  • M. N. Morshed Computer Centre, Islamic University, Kushtia, Bangladesh
  • S. Khatun Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • V. Vijayasarveswari School of Computer and Communication Engineering, Universiti Malaysia Perlis, Malaysia
  • M. M. Fakir Faculty of Chemical Engineering (CARIFF), UMP, Pahang, Malaysia.
  • M. Z. Ibrahim Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • K. Hawari Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.
  • M. H. Ariff Faculty of Electrical and Electronics Engineering, UMP, Pahang, Malaysia.

Keywords:

Bluetooth, Cognitive Radio Network, Cognitive Radio Test Bed, Spectrum Sensing and Detection, WiFi,

Abstract

Cognitive Radio (CR) is the cutting-edge wireless technology that is used to solve the spectrum saturation problem. In cognitive radio, Secondary Users (SUs) use Primary User’s (PU’s) spectrum (licensed band) during PU’s absence. Cognitive radio provides more flexibility in terms of spectrum utilization but the spectrum sensing efficiency need to be improved to make sure that the PUs are not interrupted while they are active. This paper presents the test-bed development of a CR network using Android-based smartphones for optimal sensing and data transmission. An energy detector based sensing method is proposed and used here since the energy detector does not require the information of the PU. The CR features have been implemented in Android phone using the Eclipse Java programming. The test-bed experimental set up was done using Android-based smartphones and Wi-Fi Access Point (AP). Two spectrum, Wi-Fi and Bluetooth were used to verify the sensing and detection efficiency. Results show that the proposed sensing and detection scheme efficiency is about 83%.

References

Richard,Yu F., “Cognitive radio mobile ad hoc network”, Ottawa Canada: Springer, 2011.

Akyildiz, I. F., W. Y. Lee, M. C. Vuran, & S. Mohanty., “Next generation / dynamic spectrum access/ cognitive radio wireless networks: a survey,” Elsevier J. Computer Networks, vol. 50, pp. 2127– 2159, September, 2006.

Hrishikesh, V., & Muntean G., “Cognitive radio and its application for next generation cellular and wireless networks,” Dublin, Ireland: Springer 2012.

Won-Yeol Le, &, Akyildiz,I.F., “Optimal Spectrum Sensing Framework for Cognitive Radio Networks,” IEEE Transactions on Wireless Communications, vol. 10, 2008.

Simon, H., Thomson David, J., & Jefrey, H. R., “Spectrum Sensing for cognitive radio,” Canada, 2009.

Edward C. Y. Peh, Ying-Chang Liang, & Yong Liang Guan, “Optimization of Cooperative Sensing in Cognitive Radio Networks A Sensing-Throughput Tradeoff View,” IEEE Transactions on Vehicular Technology, vol. 58, no. 9, 2009.

Tkachenko, A., D. Cabric, A., & Brodersen, W. R., “Cyclostationary feature detector experiments using reconfigurable BEE2,” IEEE International Symposium on New Frontiers in Dynamic Spectrum AccesscNetworks 2007 (DySPAN), pp. 216 – 219, April 2007.

Cooperative Spectrum Sensing. (n.d.), Retrieved from, http://www.radio-electronics.com/info/rf-technologydesign/cognitive-radio-cr/cooperative-spectrum-sensing.php.

H. Pieterse and M. S. Olivier, “Android botnets on the rise: Trends and characteristics”, Information Security for South Africa - Proceedings of the ISSA 2012 Conference, 15-17 August, 2012.

Z. Wei, R. Mallik, and K. Letaief, “Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks”, IEEE Transactions on Wireless Communications, vol. 8, no. 12, pp. 5761–5766, December 2009.

V.Vijayasarveswari, S. Khatun, M.M. Fakir, M.N. Morshed, L.M. Kamarudin, A. Jakaria. “Cognitive Radio Based Optimal Channel Sensing and Resources Allocation”, 11th Asian Conference on Chemical Sensors (ACCS 2015), November, 2015.

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir., N. Azmi, “Performance Measurement of 2.4 GHz WLAN Channels for Overlapped and Nonoverlapped Wi-Fi Direct Channel Activity”, International Journal of Microwave and Optical Technology, vol.11, no. 4, pp. 268–273, July 2016.

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir. “Non-overlapping Channel Utilization and Noise Floor Measurement of 2.4 GHz Wireless LAN Based Cognitive Radio Network”, International Journal of Applied Engineering Research, vol. 11(12), pp.7883–7887, July 2016.

M N Morshed, S Khatun, L M Kamarudin, A Zakaria, N Azmi. “Distributed Cognitive Radio Detection Using Wasp mote Sensor for Windows Based PC/Laptop”, 2nd International Conference on Electronic Design (ICED 2014), August, 2014.

M.N. Morshed, S. Khatun, L. M. Kamarudin, S. A. AlJunid, R. B. Ahmad, A. Zakaria, M. M. Fakir. “Adaptive Threshold Determination for Efficient Channel Sensing in Cognitive Radio Network using Mobile Sensors”, 11th Asian Conference on Chemical Sensor, Penang, Malaysia, November, 2015.

V.Vijayasarveswari, S. Khatun, M.M. Fakir, M.N. Morshed, L.M. Kamarudin, A. Jakaria. "Cognitive radio based optimal channel sensing and resources allocation." American Institute of Physics Conference Series, vol. 1808, no. 2, March, 2017.

Morshed, M. N., Khatun, S., Kamarudin, L. M., Aljunid, S. A., Ahmad, R. B., Zakaria, A., & Fakir, M. M. "Adaptive threshold determination for efficient channel sensing in cognitive radio network using mobile sensors." AIP Conference Proceedings. vol. 1808, no. 1, March, 2017.

Mokhtar, R.A., Khatun, S., Ali, B.M. and Ramli, A. “Cooperative sensing in cognitive radio networks-avoid non-perfect reporting channel”, J. Eng. Applied Sci, vol. 2, pp. 471-475, 2009.

Mokhtar R.A, Khatun S., Ali B.M, Ramli A.R. "Cooperative Sensing under Limited Band Control Channel in Cognitive Radio Networks," 2008 IEEE 6th National Conference on Telecommunication Technologies and 2008 2nd Malaysia Conference on Photonics NCTTMCP, pp. 377-380, August, 2008.

Mokhtar R.A, Khatun S., Ali B.M, Ramli A.R. "Cognitive radio technology for flexible spectrum sharing," 2006 IEEE 4th Student Conference on Research and Development, SCOReD, pp. 44-48. June, 2006.

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Published

2018-01-22

How to Cite

Morshed, M. N., Khatun, S., Vijayasarveswari, V., Fakir, M. M., Ibrahim, M. Z., Hawari, K., & Ariff, M. H. (2018). Cognitive Radio Based Optimal Channel Sensing for Resource Allocation in Communications. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-3), 115–119. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3497

Issue

Vol. 10 No. 1-3: Moving Towards Industry 4.0 II

Section

Articles

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