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Adaptive Neural Signal Detection for Massive MIMO

Adaptive Neural Signal Detection for Massive MIMO

11 June 2019
Mehrdad Khani
Mohammad Alizadeh
J. Hoydis
Phil Fleming
ArXivPDFHTML

Papers citing "Adaptive Neural Signal Detection for Massive MIMO"

15 / 15 papers shown
Title
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO
  Wireless Systems
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems
Reinhard Wiesmayr
C. Dick
J. Hoydis
Christoph Studer
15
11
0
15 Dec 2022
Bit Error and Block Error Rate Training for ML-Assisted Communication
Bit Error and Block Error Rate Training for ML-Assisted Communication
Reinhard Wiesmayr
Gian Marti
C. Dick
Haochuan Song
Christoph Studer
38
9
0
25 Oct 2022
Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems
Capacity Optimality of OAMP in Coded Large Unitarily Invariant Systems
Lei Liu
Shansuo Liang
L. Ping
21
16
0
23 Jun 2022
Robust MIMO Detection using Hypernetworks with Learned Regularizers
Robust MIMO Detection using Hypernetworks with Learned Regularizers
Nicolas Zilberstein
C. Dick
Rahman Doost-Mohammady
A. Sabharwal
Santiago Segarra
23
4
0
13 Oct 2021
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM
  Detection
RC-Struct: A Structure-based Neural Network Approach for MIMO-OFDM Detection
Jiarui Xu
Zhou Zhou
Lianjun Li
Lizhong Zheng
Lingjia Liu
37
24
0
03 Oct 2021
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
18
0
0
30 Jun 2021
Real-time Outdoor Localization Using Radio Maps: A Deep Learning
  Approach
Real-time Outdoor Localization Using Radio Maps: A Deep Learning Approach
cCaugkan Yapar
Ron Levie
Gitta Kutyniok
Giuseppe Caire
32
35
0
23 Jun 2021
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and
  Non-Coherent Receiver Design in Fading Channels
End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels
Songyan Xue
Yi Ma
N. Yi
19
8
0
04 May 2021
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for
  Soft Detection with Low Complexity
CMDNet: Learning a Probabilistic Relaxation of Discrete Variables for Soft Detection with Low Complexity
Edgar Beck
C. Bockelmann
Armin Dekorsy
22
12
0
25 Feb 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
30
317
0
15 Dec 2020
Machine Learning for MU-MIMO Receive Processing in OFDM Systems
Machine Learning for MU-MIMO Receive Processing in OFDM Systems
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
J. Gorce
23
23
0
15 Dec 2020
Deep unfolding of the weighted MMSE beamforming algorithm
Deep unfolding of the weighted MMSE beamforming algorithm
Lissy Pellaco
M. Bengtsson
Joakim Jaldén
27
21
0
15 Jun 2020
Deep HyperNetwork-Based MIMO Detection
Deep HyperNetwork-Based MIMO Detection
Mathieu Goutay
Fayçal Ait Aoudia
J. Hoydis
39
54
0
07 Feb 2020
Learning-Based Low-Rank Approximations
Learning-Based Low-Rank Approximations
Piotr Indyk
A. Vakilian
Yang Yuan
39
67
0
30 Oct 2019
Model-Driven Deep Learning for MIMO Detection
Model-Driven Deep Learning for MIMO Detection
Hengtao He
Chao-Kai Wen
Shi Jin
Geoffrey Ye Li
13
18
0
22 Jul 2019
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