Abstract
Spectrum prediction is one of the key technologies of cognitive radio. With the development of electronic warfare, the concept of cognitive electronic warfare has been put forward. At the moment, as one of the key technologies of cognitive electronic warfare, spectrum prediction is also very important. In reality, it is difficult to predict the use of licensed spectrum, and it is more difficult to predict the enemy’s spectrum in enemy operations. In this paper, the existing spectrum prediction research is introduced. According to their shortcomings, a method of spectrum prediction is proposed, which improves the BP neural network by using tabu search algorithm.
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References
Eltholth, A.A.: Spectrum prediction in cognitive radio systems using a wavelet neural network. In: 2016 24th International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Split, pp. 1–6 (2016)
Bai, S., Zhou, X., Xu, F.: Spectrum prediction based on improved-back-propagation neural networks. In: 2015 11th International Conference on Natural Computation (ICNC), Zhangjiajie, pp. 1006–1011 (2015)
Yang, J., Zhao, H., Chen, X.: Genetic algorithm optimized training for neural network spectrum prediction. In: 2016 2nd IEEE International Conference on Computer and Communications (ICCC), Chengdu, pp. 2949–2954 (2016)
Huk, M., Mizera-Pietraszko, J.: Contextual neural-network based spectrum prediction for cognitive radio. In: 2015 Fourth International Conference on Future Generation Communication Technology (FGCT), Luton, pp. 1–5 (2015)
Lan, K., Zhao, H., Zhang, J., Long, C., Luo, M.: A spectrum prediction approach based on neural networks optimized by genetic algorithm in cognitive radio networks. In: 10th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2014), Beijing, pp. 131–136 (2014)
Zhang, H., Shou, G., Hu, Y.: Radio signal forecast for mobile network. J. Electron. Meas. Instrum. 04, 44–48 (2008)
Zhang, H.: A method of radio signal forecast for mobile network. Chinese Society of Communications, Youth Work Committee (2006). New Theory of Communication Theory and Technology - Proceedings of the 11th National Youth Communication Conference. China Communications Society Youth Work Committee (2005)
Xing, X.: Research on spectrum prediction in cognitive radio networks. Beijing Jiaotong University, Beijing (2014)
Chen, B.: Research on spectrum prediction algorithm in cognitive radio system. Beijing University of Posts and Telecommunications, Beijing (2011)
Zang, W.: Research on mixed spectrum handoff strategy in cognitive radio based on spectrum prediction. Jilin University, Jilin (2016)
Xu, Y., Lu, H., Chen, X.: A SVM based spectrum prediction scheme for cognitive radio. Res. Dev. 11, 87–92 (2014)
Wang, M.: Study on selection strategy of cognitive radio spectrum based on the theory of prediction. North China Electric Power University, Beijing (2011)
Yang, X., Yang, Z., Liu, S.: Forecast-based opportunistic spectrum access for cognitive radio networks. J. Chongqing Univ. Posts Telecommun. (Nat. Sci. Ed.) 01, 14–19 (2009)
Tang, W., Yu, H., Li, S.: Mixed spectrum hand off algorithm for cognitive radio based on channel state prediction. Comput. Eng. Appl. 27, 17–21 (2012)
Liu, Q.: Research on spectrum prediction based on markov model in cognitive radio networks. Xidian University, Xian (2014)
Liu, Y., Yang, J., Yang, H.: Hidden markov model-based joint probability channel prediction dynamic spectrum access in cognitive radio. J. Shanghai Univ. (Nat. Sci.) 05, 581–585 (2011)
Xian, Y., Yang, Y., Xu, C., Zheng, X.: Spectrum usage prediction based on chaotic neural network model for cognitive radio system. J. Comput. Appl. 12, 3181–3183+3194 (2011)
Chen, H., Chen, J., Gao, Z.: An improved WSVM prediction algorithm in cognitive radio. J. Electron Qual. 05, 1–4 (2016)
Li, X., Zou, S., Xu, L.: Research on EMC prediction of cognitive radio and primary users. Wide Bd. Netw. 17, 102–105 (2012)
Zhang, C., Yang, X.: Elementary study on cognitive electronic warfare. Commun. Countermeas. 02, 1–4+20 (2013)
Zhou, Z.: A survey of the development of BP neural network. Shanxi Electron. Technol. 02, 90–92 (2008)
Li, S.: Research on neural network predictive radio spectrum prediction based on DE - BP neural network. Southwest Jiaotong University, Sichuan (2013)
Zhou, Z.: Machine Learning, pp. 97–105. Tsinghua University Press, Beijing (2015)
Acknowledgments
This work was supported by the Nation Nature Science Foundation of China (No. 61401115), National Natural Science Foundation of China (No. 61301095), National Natural Science Foundation of China (No. 61671167). And this paper is funded by the International Exchange Program of Harbin Engineering University for Innovation-oriented Talents Cultivation.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Dou, Z., Cao, T., Li, W. (2018). Survey on Spectrum Prediction Methods via Back Propagation Neural Network. In: Sun, G., Liu, S. (eds) Advanced Hybrid Information Processing. ADHIP 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-73317-3_31
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DOI: https://doi.org/10.1007/978-3-319-73317-3_31
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