Channel Estimation of Massive MIMO-OFDM System Using Elman Recurrent Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s13369-021-06366-0.pdf
Reference44 articles.
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3. Zhou, Z.; Fang, J.; Yang, L.; Li, H.; Chen, Z.; Blum, R.S.: Low-rank tensor decomposition-aided channel estimation for millimeter-wave MIMO-OFDM systems. IEEE J. Select. Areas Commun. 35(7), 1524–1538 (2017). https://doi.org/10.1109/JSAC.2017.2699338
4. Park, S.; Shim, B.; Choi, J.W.: Iterative channel estimation using virtual pilot signals for MIMO-OFDM systems. IEEE Trans. Signal Process. 63(12), 3032–3045 (2015). https://doi.org/10.1109/TSP.2015.2416684
5. You, L.; Gao, X.; Swindlehurst, A.L.; Zhong, W.: Channel acquisition for massive MIMO-OFDM with adjustable phase shift pilots. IEEE Trans. Signal Process. 64(6), 1461–1476 (2015). https://doi.org/10.1109/TSP.2015.2502550
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