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Active Sensing for Communications by Learning
v1v2v3 (latest)

Active Sensing for Communications by Learning

8 December 2021
Foad Sohrabi
Tao Jiang
Wei Cui
Wei Yu
ArXiv (abs)PDFHTML

Papers citing "Active Sensing for Communications by Learning"

10 / 10 papers shown
Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach
Joint Active RIS Configuration and User Power Control for Localization: A Neuroevolution-Based Approach
George Stamatelis
Hui Chen
Henk Wymeersch
G. C. Alexandropoulos
72
1
0
25 Sep 2025
Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent Surface
Learning Beamforming Codebooks for Active Sensing with Reconfigurable Intelligent SurfaceIEEE Transactions on Wireless Communications (TWC), 2025
Zhongze Zhang
Wei Yu
223
2
0
24 Mar 2025
Transfer Learning with Reconstruction Loss
Transfer Learning with Reconstruction Loss
Wei Cui
Wei Yu
262
3
0
31 Mar 2024
Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases
Evasive Active Hypothesis Testing with Deep Neuroevolution: The Single- and Multi-Agent Cases
George Stamatelis
Angelos-Nikolaos Kanatas
Ioannis Asprogerakas
G. C. Alexandropoulos
182
1
0
15 Mar 2024
Localization with Reconfigurable Intelligent Surface: An Active Sensing
  Approach
Localization with Reconfigurable Intelligent Surface: An Active Sensing ApproachIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Zhongze Zhang
Tao Jiang
Weiyong Yu
107
18
0
14 Dec 2023
Deep Reinforcement Learning for mmWave Initial Beam Alignment
Deep Reinforcement Learning for mmWave Initial Beam Alignment
Daniel Tandler
Sebastian Dörner
Marc Gauger
S. Brink
160
5
0
17 Feb 2023
Large Deviations for Classification Performance Analysis of Machine
  Learning Systems
Large Deviations for Classification Performance Analysis of Machine Learning Systems
P. Braca
L. Millefiori
A. Aubry
A. De Maio
P. Willett
237
3
0
16 Jan 2023
Statistical Hypothesis Testing Based on Machine Learning: Large
  Deviations Analysis
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations AnalysisIEEE Open Journal of Signal Processing (JOSP), 2022
P. Braca
L. Millefiori
A. Aubry
S. Maranò
A. De Maio
P. Willett
182
13
0
22 Jul 2022
Bayesian Active Meta-Learning for Few Pilot Demodulation and
  Equalization
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
393
14
0
02 Aug 2021
Structured Attention Networks
Structured Attention NetworksInternational Conference on Learning Representations (ICLR), 2017
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
608
480
0
03 Feb 2017
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