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Leveraging Context Information in Fifth Generation MillimeterWave Mobile Networks: a Bayesian Approach
Manchon, Carles Navarro
(PI)
Rezaie, Sajad
(Project Participant)
Wireless Communication Networks
The Technical Faculty of IT and Design
Department of Electronic Systems
Overview
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Publications
(2)
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Weight
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Engineering & Materials Science
Millimeter waves
100%
Deep learning
54%
Beamforming
52%
Transfer learning
48%
Antenna arrays
38%
Steerable antennas
33%
Deep neural networks
32%
Signal processing
32%
Directive antennas
31%
Mobile telecommunication systems
23%
Large dataset
21%
Transceivers
19%
Frequency bands
17%
Wireless networks
15%
Antennas
13%
Outages
12%
Communication
10%
Neural networks
8%
Mathematics
Transfer Learning
76%
Millimeter Wave
72%
Information Transfer
31%
Antenna
24%
Large Data Sets
24%
Alignment
23%
Large Set
21%
Neural Networks
19%
Scenarios
18%
Learning
18%
Requirements
16%
Configuration
15%
Evaluation
14%