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Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive
  MIMO Systems
v1v2v3v4 (latest)

Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems

27 December 2019
Yuwen Yang
Fei Gao
Zhimeng Zhong
B. Ai
Ahmed Alkhateeb
ArXiv (abs)PDFHTML

Papers citing "Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems"

11 / 11 papers shown
Title
Model-aided Deep Neural Network for Source Number Detection
Model-aided Deep Neural Network for Source Number Detection
Yuwen Yang
Fei Gao
Cheng Qian
G. Liao
25
44
0
29 Sep 2019
Learning to Transfer: Unsupervised Meta Domain Translation
Learning to Transfer: Unsupervised Meta Domain Translation
Jianxin Lin
Yijun Wang
Tianyu He
Zhibo Chen
76
8
0
01 Jun 2019
Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink
Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink
Mohammad Sadegh Safari
V. Pourahmadi
Shabnam Sodagari
37
29
0
16 Dec 2018
Model-Driven Deep Learning for Physical Layer Communications
Model-Driven Deep Learning for Physical Layer Communications
Hengtao He
Shi Jin
Chao-Kai Wen
Fei Gao
Geoffrey Ye Li
Zongben Xu
AI4CE
60
375
0
17 Sep 2018
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
70
2,591
0
06 Aug 2018
On First-Order Meta-Learning Algorithms
On First-Order Meta-Learning Algorithms
Alex Nichol
Joshua Achiam
John Schulman
237
2,237
0
08 Mar 2018
Understanding the Loss Surface of Neural Networks for Binary
  Classification
Understanding the Loss Surface of Neural Networks for Binary Classification
Shiyu Liang
Ruoyu Sun
Yixuan Li
R. Srikant
85
88
0
19 Feb 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
829
11,943
0
09 Mar 2017
Learning to learn by gradient descent by gradient descent
Learning to learn by gradient descent by gradient descent
Marcin Andrychowicz
Misha Denil
Sergio Gomez Colmenarejo
Matthew W. Hoffman
David Pfau
Tom Schaul
Brendan Shillingford
Nando de Freitas
124
2,008
0
14 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,312
0
22 Dec 2014
Sparse Online Learning via Truncated Gradient
Sparse Online Learning via Truncated Gradient
John Langford
Lihong Li
Tong Zhang
168
486
0
28 Jun 2008
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