Open Access
Bilişsel Radyo Ağlarında Çevrimiçi Öğrenme Tabanlı İşbirlikçi Spektrum Algılama Algoritmasının Sönümlü Kanallardaki Başarımı
Kenan Koçkaya1*, İbrahim Develi2
1Sivas Cumhuriyet Üniversitesi , Sivas, Türkiye
2Erciyes Üniversites, Kayseri, Türkiye
* Corresponding author: kkockaya@cumhuriyet.edu.tr

Presented at the 3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) (ISAS2019-ENS), Ankara, Turkey, Apr 19, 2019

SETSCI Conference Proceedings, 2019, 4, Page (s): 153-157 , https://doi.org/

Published Date: 01 June 2019    | 686     7

Abstract

Spektrum algılamada amaç spektrum boşluklarının doğru ve hızlı bir şekilde algılanmasıdır. Bu nedenle bilişsel radyo ağlarının başarımı büyük ölçüde spektrum algılama işlevine bağlıdır. Bu çalışmada, bilişsel radyo ağlarında spektrum algılma başarımını artırmak için çevrimiçi öğrenme tabanlı işbirlikçi spektrum algılama algoritması önerilmiştir. Önerilen yöntemin işbirlikçi spektrum algılama başarım analizi sönümsüz AWGN kanala ilaveten Rayleigh, Nakagami-m ve Rician sönümlü kanallarında yapılmıştır. Simülasyon çalışmaları sonucunda, bilişsel radyo ağlarında geçmiş verilerden eşik değer ifadesinin optimize edilmesi ve işbirlikçi algılama yaklaşımı ile daha etkin bir algılama yapılabileceği gösterilmiştir.  

Keywords - Spektrum algılama, Enerji Tabanlı Algılama, İşbirlikçi Spektrum Algılama, Makine Öğrenme Algoritmaları, Çevrimiçi Öğrenme Algoritması.

References

[1] Federal Communications Commission, “Spectrum Policy Task Force Report”, FCC 02-155, Nov. 2002.

[2] Mitola, J. and Maguire, G. Q., “Cognitive Radio: Making Software Radios More Personal”, IEEE Personal Communications, Vol. 6, No. 4, pp. 13–18, 1999.

[3] Mitola, J., “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio”, Ph. D. Dissertation, KTH Royal Institute of Technology, Stockholm, Sweden. 2000.

[4] Ghasemi A. and Sousa, E. S., “Spectrum Sensing in Cognitive Radio Networks: Requirements, Challenges and Design Trade-offs”, IEEE Communications Magazine, Vol. 46, No. 4, pp.32-39, 2008.

[5] Akyildiz, I. F., Lo, B. F. and Balakrishnan, R., “Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey”, Physical Communication, Vol. 4, No. 1, pp. 40–62, 2011.

[6] Chunhua, S. Wei, Z. and Khaled, B. L., “Cooperative Spectrum Sensing for Cognitive Radios under Bandwidth Constraints”, IEEE Wireless Communications and Networking Conference (WCNC '07), pp. 1-5, March 2007.

[7] Peh, E. and Liang, Y.C., “Optimization for Cooperative Sensing in Cognitve Radio Networks”, IEEE Wireless Communications and Networking Conference (WCNC '07), pp. 27-32, 2007.

[8] Unnikrishnan, J. and Veeravalli, V.V., “Cooperative Sensing for Primary Detection in Cognitive Radio”, IEEE Journal of Selected Topics in Signal Processing, Vol.2, No.1, pp. 18-27, 2008.

[9] Wang, W., Zou, W., Zhou, Z., Zhang, H. and Ye, Y., “Decision FusionOf Cooperative Spectrum Sensing For Cognitive Radio Under Bandwidth Constraints”, IEEE Third International Conference on Convergence and Hybrid Information Technology, Vol. 1, pp. 733– 736, 2008.

[10] Unnikrishnan, J. and Veeravalli, V. V., “Cooperative Sensing for Primary Detection in Cognitive Radio”, IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No. 1, pp. 18-27, February 2008.

[11] Ma, J. Zhao, G. and Li, Y. “Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks”, IEEE Transactions on Wireless Communications, Vol. 7, No. 11, pp. 4502–4507, 2008.

[12] Peh, E.C., Liang, Y.C., Guan, Y.L. and Zeng, Y., “Cooperative Spectrum Sensing in Cognitive Radio Networks With Weighted Decision Fusion Schemes”, IEEE Transactions Wireless Communications, Vol. 9, No. 12, pp.3838–3847, 2010.

[13] Liu, X., Jia, M. and Tan, X., “Threshold Optimization of Cooperative Spectrum Sensing in Cognitive Radio Networks”, Radio Science, Vol. 48, No. 1, pp. 23–32, 2013.

[14] Gorcin, A. Qaraqe K.A., Celebi H. and Arslan H., "An Adaptive Threshold Method for Spectrum Sensing in Multi-channel Cognitive Radio Networks", 17th International Conference on Telecommunications (ICT’10) pp. 425-429, 2010

[15] Raman, D. and Singh, N.P. “Improved Threshold Scheme for Energy Detection In Cognitive Radio Under Low SNR”, Association of Computer Electronics and Electrical Engineers, pp.251-256, 2013.

[16] Chaudhari, S., Lunden, J. and Koivunen, V., “Collaborative Autocorrelation Based Spectrum Sensing of OFDM Signals in cognitive Radios”, 42nd Annual Conference on Information Sciences and Systems, pp. 191–196, 2008.

[17] Jiang, Z., Zhengguang, X., Furong, W., Benxiong, H., and Bo, Z., “Double Threshold Energy Detection of Cooperative Spectrum Sensing in Cognitive Radio,” in International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 1-5, 2008.

[18] Bagwari, A. ve Tomar, G. S. “Adaptive Double-Threshold Based Energy Detector for Spectrum Sensing in Cognitive Radio Networks”, International Journal of Electronics Letters, Vol. 1, pp.24-32. 2013.

[19] Koçkaya, K. and Develi, I. “Bilişsel Radyo Ağlarında Spektrum Algılama için Çevrimiçi Öğrenme Algoritmasına Dayalı Optimum Eşik Modeli”, International Symposium on Innovative Approaches in Scientific Studies, ISAS 2018, Vol. 2, pp. 434-439, 2018.

[20] Keraliya, D. and Ashalata, K. “Minimizing the Detection Error in Cooperative Spectrum Sensing Using Teaching Learning Based Optimization (TLBO)”, International Journal of Engineering Research & Technology (IJERT), Vol.6, No.2, pp. 495-500. 2017.

21] Swamy, B., Bachu, S. and Lavanya, CH. “TLBO Based Spectrum Allocation in Cognitive Radio Network”, International Journal of Multidisciplinary Research and Modern Education (IJMRME), Vol.1, No.1, pp. 91-97, 2015.

[22] Digham, F. F., Alouini, M. S. and Simon, M. K., “On The Energy Detection of Unknown Signals Over Fading Channels”, IEEE International Conference on
communications (ICC’03), pp. 3575- 3579, 2013.23] Maleki, S., Chepuri, S. P. and Leus, G., “Energy and Throughput Efficient Strategies for Cooperative Spectrum Sensing in Cognitive Radios”, Signal Processing Advances in Wireless Communications (SPAWC), 2011 IEEE 12th International Workshop on. IEEE, pp. 71–75, 2011.

SETSCI 2024
info@set-science.com
Copyright © 2024 SETECH
Tokat Technology Development Zone Gaziosmanpaşa University Taşlıçiftlik Campus, 60240 TOKAT-TÜRKİYE