There are two types of sensing techniques available for spectrum sensing in cognitive radio networks (CRNs), signal specific sensing and blind sensing. Blind sensing is more popular because it does not require prior information of primary users (PUs). Conventional-energy detector (C-ED) is one of the examples of blind sensing technique, ease to implement and simplicity are main features of C-ED but at low signal to noise ratio (SNR) its performance degrades. The main factor of performance degradation is sensing failure problem which occurs at low SNR. In this paper, we introduce an improved-energy detector with adaptive double threshold (I-ED-ADT) sensing scheme to overcome sensing failure problem. In this method, each CR makes a local decision in the form of binary bit (0 or 1) when observed energy lies out of the confused region or lies within the confused region. Further, ED-ADT detector uses cooperative sensing where final decision about the presence or absence of PU signal is taken at fusion center (FC) after processing the received decisions. We have carried out MATLAB simulation tool to prove the superiority of the sensing technique in achieving a tradeoff between sensing time and detection performance.
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Federal Communications Commission. (2005). Notice of proposed rule making and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies, ET Docket No. 03-108.
Bagwari, A., & Singh, B. (2012). Comparative performance evaluation of spectrum sensing techniques for cognitive radio networks. In Fourth IEEE International Conference on Computational Intelligence and Communication Networks (CICN-2012) (Vol. 1, pp. 98–105).
Sobron, I., Diniz, P. S. R., Martins, W. A., & Velez, M. (2015). Energy detection technique for adaptive spectrum sensing. IEEE Transactions on Communications, 63(3), 617–627.
Liu, S.-Q., Hu, B.-J., & Wang, X.-Y. (2012). Hierarchical cooperative spectrum sensing based on double thresholds energy detection. IEEE Communications Letters, 16(7), 1096–1099.
Bagwari, A., & Tomar, G. S. (2013). Cooperative spectrum sensing with adaptive double-threshold based energy detector in cognitive radio networks. Wireless Personal Communications, 70(4), 1–15.
Verma, P., & Singh, B. (2016). Overcoming sensing failure problem in double threshold basedcooperative spectrum sensing. Wireless Personal Communications, Internationsl Journal for Light and Electron Optics, Optik-Elsevier, 127(10), 4200–4204.
Ma, J., & Li, Y. (2007). Soft combination and detection for cooperative spectrum sensing in cognitive radio networks. In IEEE Global Telecommunication Conference (pp. 3139–3143).
Ejaz, W., Hasan, N. U., & Kim, H. S. (2012). SNR-based adaptive spectrum sensing for cognitive radio networks. International Journal of Innovative Computing, Information and Control, 8(9), 6095–6105.
Bagwari, A., Kanti, J., Tomar, G. S., & Samarah, A. (2015). Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN. Journal of High Speed Networks, 21(3), 205–220.
Zhang, L., Huang, J., & Tang, C. (2011). Novel energy detection scheme in cognitive radio. In IEEE Conference on Signal Processing, Communications and Computing (ICSPCC) (pp. 1–4).
Cordeiro, C., Challapali, K., Birru, D., & Shankar, S. (2005). IEEE 802.22: The first worldwide wireless standard based on cognitive radios. In Proceedings of DySPAN 2005.
Lee, W. Y., & Akyildiz, I. F. (2008). Optimal spectrum sensing framework for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(10), 3845–3857.
Liang, Y. C., Zeng, Y., Peh, E., & Hoang, A. T. (2008). Sensing-throughput tradeoff for cognitive radio networks. IEEE Transactions on Wireless Communications, 7(4), 1326–1337.
The authors wish to thank their parents for supporting and motivating for this work because without their blessings and God’s grace this was not possible.
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Bagwari, A., Kanti, J. & Tomar, G.S. An Enhanced Detection Technique of Cognitive Radio Networks. Wireless Pers Commun 97, 6069–6087 (2017). https://doi.org/10.1007/s11277-017-4827-6
- Cognitive radio networks
- Adaptive threshold
- Sensing failure
- Energy detector
- Spectrum sensing
- Cooperative sensing