Abstract
In wireless communication, sensing failure, reliability, and fading affects the radio signals. Adaptive threshold and multiple antennas are one of the solutions of such problems. In this paper, authors introduced a novel multiple antennas based centralized spectrum sensing (SS) technique for cognitive radio networks (CRNs). This paper is divided into two parts: part A uses multiple antennas based improved sensing detector (MA_ISD), and part B uses multiple antennas based centralized spectrum sensing (MA_CSS) technique. Now, in the part A: the presented scheme uses two detectors (TD) concept, first one is an energy detector with a single adaptive threshold (ED-SAT) and the second one is an energy detector with two adaptive thresholds (ED-TAT). Both detectors imply multiple antennas, following selection combination to select best signals. The proposed model enhances the detection performance and takes less sensing or detection time. The thresholds are adaptive as they are dependent on noise variance (\( \sigma_{\omega }^{2} \)), and the value of this noise variance changes according to the noise signal. Both the detectors work simultaneously and their output is then fed to a decision device which takes the decision using an OR rule. Results confirm that the presented multiple antennas based improved sensing detector (MA_ISD) technique improves the detection performance by 24.6%, 53.4%, 37.9%, and 49.6%, as compared to existing schemes (i.e. EDT-ASS-2015 scheme, ED and cyclo-2010, adaptive SS-2012, and conventional-ED) scheme at −12 dB signal-to-noise ratio (SNR), respectively, while the number of antennas (N r ) = 2. Meanwhile, proposed technique also decreases sensing time in the order of 47.0 ms, 49.0 ms, and 53.2 ms as compared to existing schemes (EDT-ASS-2015, Adaptive SS-2012, and ED and Cyclo-2010) scheme at −20 dB SNR respectively. Further, in the part B: cooperative SS (CSS) is introduced in which the local decisions from each cognitive radio are transferred to a fusion center (FC) that decides the final decision and shares the decision to every cognitive radio. It is also found that the proposed detection technique with CSS when a number of cognitive radio (CR) users (k) = 10, and N r = 2, achieves detection performance as per IEEE 802.22 at very low SNR i.e. −20 dB.
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Federal Communications Commission, 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, February 2005
Bagwari, A., Singh, B.: Comparative performance evaluation of spectrum sensing techniques for cognitive radio networks. In: 2012 Fourth IEEE International Conference on Computational Intelligence and Communication Networks (CICN- 2012), vol. 1, pp. 98–105 (2012)
Maleki, S., Pandharipande, A., Leus, G.: Two-Stage Spectrum sensing for cognitive radios. In: IEEE Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 2946–2949 (2010)
Ejaz, W., Hasan, N., Kim, H.S.: SNR-based adaptive spectrum sensing for cognitive radio networks. Int. J. Innovative Comput. Inform. Control 8(9), 6095–6105 (2012)
Sobron, I., Diniz, P.S.R., Martins, W.A.: Velez, M: Energy detection technique for adaptive spectrum sensing. IEEE Trans. Commun. 63(3), 617–627 (2015)
Liu, S.-Q., Hu, B.-J., Wang, X.-Y.: Hierarchical cooperative spectrum sensing based on double thresholds energy detection. IEEE Commun. Lett. 16(7), 1096–1099 (2012)
Akyildiz, I.F., Lo, B.F., Balakrishnan, R.: Cooperative spectrum sensing in cognitive radio networks: a survey. Elsevier Phys. Commun. 4, 40–62 (2011)
Teguig, D., Scheers, B., Le Nir, V.: Data fusion schemes for cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Wireless Commun. 7(4), 1326–1337 (2008)
Pandharipande, A., Linnartz, J.-P.M.G.: Performance analysis of primary user detection in a multiple antenna cognitive radio. In: Proceedings of the IEEE International Conference on Communications, pp. 6482–6486 (2007)
Taherpour, A., Nasiri-Kenari, M., Gazor, S.: Multiple antenna spectrum sensing in cognitive radios. IEEE Trans. Wireless Commun. 9(2), 814–823 (2010)
Tandra, R., Sahai, A.: SNR walls for signal detection. IEEE J. Sel. Topic Sig. Proc. 2(1), 4–16 (2008)
Bagwari, A., Kanti, J., Singh, G., Tomar, A.S.: Reliable spectrum sensing scheme based on dual detector with double-threshold for IEEE 802.22 WRAN. J. High Speed Netw. 21(3), 205–220 (2015). IOS Press
Singh, A., Bhatnagar, M.R., Mallik, R.K.: Cooperative spectrum sensing in multiple antenna based cognitive radio network using an improved energy detector. IEEE Commun. Lett. 16(1), 64–67 (2011)
Zhang, W., Letaief, K.B.: Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks. IEEE Trans. Wireless Commun. 7, 4761–4766 (2008)
Ganesan, G., Li, Y.(G.): Cooperative spectrum sensing in cognitive radio–part I: two user networks. IEEE Trans. Wireless Commun. 6(6), 2204–2213 (2007)
Zhang, L., Huang, J., Tang, C.: Novel energy detection scheme in cognitive radio. In: IEEE Conference on Signal Processing, Communications and Computing (ICSPCC), pp. 1–4 (2011)
Cordeiro, C., Challapali, K., Birru, D., Shankar, S.: IEEE 802.22: the first worldwide wireless standard based on cognitive radios. In: Proceedings of DySPAN 2005, November 2005
Lee, W.Y., Akyildiz, I.F.: Optimal spectrum sensing framework for cognitive radio networks. IEEE Trans. Wireless Commun. 7(10), 3845–3857 (2008)
Liang, Y.C., Zeng, Y., Peh, E., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wireless Commun. 7(4), 1326–1337 (2008)
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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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Kanti, J., Tomar, G.S., Bagwari, A. (2017). A Novel Multiple Antennas Based Centralized Spectrum Sensing Technique. In: Gavrilova, M., Tan, C. (eds) Transactions on Computational Science XXIX. Lecture Notes in Computer Science(), vol 10220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-54563-8_4
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DOI: https://doi.org/10.1007/978-3-662-54563-8_4
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