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This paper proposes to use a deep neural network (DNN)-based symbol detector for mmWave systems such that CSI acquisition can be bypassed.
Multiuser Detection
S. Verdu · 1998
Earlier work this paper cites.
“Efficient Viterbi beam search algorithm using dynamic pruning”
X. Lingyun and D. Limin · 2004
Earlier work this paper cites.
“Noncooperative cellular wireless with unlimited numbers of base station antenna”
T. L. Marzetta · 2010
Earlier work this paper cites.
“Millimeter Wave mobile communications for 5G cellular: it will work!”
T. Rappaport, S. Sun, R. Mayzus, H. Zhao, Y. Azar, K. Wang, G. Wong, J. Schulz, M. Samimi, and F. Gutierrez · 2013
Earlier work this paper cites.
“Millimeter wave channel modeling and cellular capacity evaluation”
M. Akdeniz, Y. Liu, S. Sun, S. Rangan, T. Rappaport, and E. Erkip · 2014
Earlier work this paper cites.
“Learning to decode linear codes using deep learning”. in
E. Nachmani, Y. Be’ery, and D. Burshtein · 2016
Earlier work this paper cites.
“Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention”. in
T. O’Shea, K. Karra, and T. C. Clancy · 2016
Cited alongside, same era.
“3-D millimeter-wave statistical channel model for 5G wireless system design”
M. Samimi, and T. Rappaport · 2016
Cited alongside, same era.
“An introduction to deep learning for the physical layer”
T. O’Shea and J. Hoydis · 2017
Cited alongside, same era.
“Deep learning for intelligent wireless networks: A comprehensive survey”
Q. Mao, F. Hu and Q. Hao · 2018
Cited alongside, same era.
“A very brief introduction to machine learning with applications to communication systems”
O. Simeone · 2018
Cited alongside, same era.
“Neural network detection of data sequences in communication systems”
N. Farsad and A. Goldsmith · 2018
“Predicting wireless mmWave massive MIMO channel characteristics using machine learning algorithms”
H. He , C-K. Wen , S. Jin , and G. Li · 2018
Later among the works it cites.
Study on channel model for frequencies from 0.5 to 100 GHz simulations, 2018
3GPP TR 38.901 · 2018
Later among the works it cites.
“ViterbiNet: Symbol detection using a deep learning based Viterbi algorithm”
N. Shlezinger, N. Farsad, Y. C. Eldar, and A. J. Goldsmith · 2019
Closest in time.
“Deep-learning-based millimeter-Wave massive MIMO for hybrid precoding”
H. Huang, Y. Song, J. Yang, G. Gui, and F. Adachi · 2019
Closest in time.
“Deep learning-based beam management and interference coordination in dense mmWave networks”
P. Zhou, X. Fang, X. Wang, Y. Long, R. He, and X. Han · 2019
Closest in time.
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Cited alongside, same era.