C. Luo, J. Ji, Q. Wang, X. Chen and P. Li. Channel state information prediction for 5G wireless communications: a deep learning approach[J]. IEEE Transactions on Network Science and Engineering, 2018, early access.
[2]
E. Nachmani, Y. Be’ery, and D. Burshtein. Learning to decode linear codes using deep learning[J]. Proc.Communication,Control, and Computing (Allerton), 2016:341-346.
[3]
T. O’Shea and J. Hoydis. An introduction to deep learning for the physical layer[J]. IEEE Transactions on Cognitive Communications and Networking,2017,3(4):563-575.
[4]
Y. He, C. Liang, F. R. Yu,etd. Optimization of cache- enabled opportunistic interference alignment wireless networks: a big data deep reinforcement learning approach[J]. Proc. IEEE Int. Conf. Commun. (ICC), May 2017:1-6.
[5]
H. Ye, G. Y. Li, and B.-H. F. Juang. Power of deep learning for channel estimation and signal detection in OFDM Systems [J]. IEEEWireless Commun. Lett,2018,7(1):114-17.
[6]
Bai, Lin, Jinho Choi,Quan Yu. Signal processing at receivers: detection theory[J]. Low Complexity MIMO Receivers,