Channel estimation of non-orthogonal multiple access systems based on L2-norm extreme learning machine
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-021-02036-8.pdf
Reference18 articles.
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2. Wang, Y., Ren, B., Sun, S., Kang, S., Yue, X.: Analysis of non-orthogonal multiple access for 5G. China Commun. 13(2), 52–66 (2016)
3. Ding, Z., Lei, X., Karagiannidis, G.K., Schober, R., Yuan, J., Bhargava, V.K.: A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE J. Sel. Areas Commun. 35(10), 2181–2195 (2017)
4. Tan, Y., Zhou, J., Qin, J.: Novel channel estimation for non-orthogonal multiple access systems. IEEE Signal Process. Lett. 23(12), 1781–1785 (2016)
5. Abdelmoniem, M., Gasser, S. M., Elmahallawy, M. S., Fakhr, M. W., and Soliman, A.: Enhanced NOMA system using adaptive coding and modulation based on LSTM neural network channel estimation. Appl. Sci., 9(15), 30(22), (2019).
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