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DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation
  with Sparse Bayesian Learning

DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning

20 January 2022
Qiyu Hu
Shuhan Shi
Yunlong Cai
Guanding Yu
    BDL
ArXivPDFHTML

Papers citing "DDPG-Driven Deep-Unfolding with Adaptive Depth for Channel Estimation with Sparse Bayesian Learning"

10 / 10 papers shown
Title
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid
  Precoding
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
Qiyu Hu
Yunlong Cai
Kai Kang
Guanding Yu
J. Hoydis
Yonina C. Eldar
21
25
0
22 Oct 2021
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and
  Precoding for mmWave Multiuser MIMO with Lens Arrays
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO with Lens Arrays
Qiyu Hu
Yanzhen Liu
Yunlong Cai
Guanding Yu
Z. Ding
51
50
0
05 Jan 2021
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep
  Learning Approach With Adaptive Depth
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth
Wei Chen
Bowen Zhang
Shimei Jin
B. Ai
Z. Zhong
41
25
0
29 Oct 2020
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding
  Design for Multiuser MIMO Systems
Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems
Qiyu Hu
Yunlong Cai
Qingjiang Shi
Kaidi Xu
Guanding Yu
Z. Ding
40
174
0
15 Jun 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging
  Problems
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
Kaixuan Wei
Angelica Aviles-Rivero
Jingwei Liang
Ying Fu
Carola-Bibiane Schönlieb
Hua Huang
68
105
0
22 Feb 2020
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection
Nir Shlezinger
Nariman Farsad
Yonina C. Eldar
Andrea J. Goldsmith
55
144
0
26 May 2019
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
333
8,130
0
13 Aug 2016
Adaptive Computation Time for Recurrent Neural Networks
Adaptive Computation Time for Recurrent Neural Networks
Alex Graves
114
547
0
29 Mar 2016
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
320
13,248
0
09 Sep 2015
Sharp Time--Data Tradeoffs for Linear Inverse Problems
Sharp Time--Data Tradeoffs for Linear Inverse Problems
Samet Oymak
Benjamin Recht
Mahdi Soltanolkotabi
75
88
0
16 Jul 2015
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