Abstract
The solution to high sampling rate plays a key role in the development of wideband spectrum sensing (WSS), and MWC system is considered as a popular choice under the sub-Nyquist framework for WSS due to efficient hardware implementation. However, MWC system runs under the assumption that PU signals are present in the concerned frequency band. Obviously, it may cause high false-alarm probability and unnecessary waste. In this paper, the Grouping Random Extraction Ratio (GRER) pre-decision algorithm is proposed to address the above issue. By using the MWC compressed sample, closed-form expression of the decision threshold is derived under the Neyman-Pearson criterion. Simulation results are provided to demonstrate the performance of the proposed algorithm.
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References
Sharma, S.K., Lagunas, E., Chatzinotas, S., Ottersten, B.: Application of compressive sensing in cognitive radio communications: a survey. IEEE Commun. Surv. Tutorials 18(3), 1838–1860 (2016)
Salahdine, F., Kaabouch, N., Ghazi, H.E.: A survey on compressive sensing techniques for cognitive radio networks. Phys. Commun. 20, 61–73 (2016)
Sun, H., Nallanathan, A., Wang, C.X., Chen, Y.: Wideband spectrum sensing for cognitive radio networks: a survey. IEEE Wirel. Commun. 20(2), 74–81 (2013)
Shaban, M., Bayoumi, M.: On sub-Nyquist spectrum sensing for wideband cognitive radios. In: 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN), pp. 543–548 (2016)
Jia, M., Gu, X.M., Guo, Q., Xiang, W., Zhang, N.T.: Broadband hybrid satellite-terrestrial communication systems based on cognitive radio towards 5G. IEEE Wirel. Commun. 23(6), 96–106 (2016)
Xiong, T., Li, H., Qi, P., Li, Z., Zheng, S.: Pre-decision for wideband spectrum sensing with sub-Nyquist sampling. IEEE Trans. Veh. Technol. 99, 1–12 (2017)
Mishali, M., Eldar, Y.C.: From theory to practice: sub-Nyquist sampling of sparse wideband analog signals. IEEE J. Sel. Top. Sig. Process. 4(2), 375–391 (2010)
Tropp, J.A., Laska, J.N., Duarte, M.F.: Beyond Nyquist: efficient sampling of sparse bandlimited signals. IEEE Trans. Inf. Theor. 56(1), 520–544 (2010)
Jia, M., Wang, X., Gu, X.M., Guo, Q.: A simplified multiband sampling and detection method based on MWC structure for Mm-wave communications in 5G wireless networks. Int. J. Antennas Propag. 2015, 1–10 (2015)
Hinkley, D.V.: On the ratio of two correlated normal random variables. Biometrika 56(3), 635–639 (1969)
Acknowledgment
This work was supported by the National Natural Science Foundation of China under Grant No. 61671183 and No. 91438205.
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Wang, X., Jia, M., Gu, X. (2019). Pre-decision Method for MWC-Based Wideband Spectrum Sensing. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_97
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DOI: https://doi.org/10.1007/978-981-10-6571-2_97
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