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Channel Charting-based Radio Resource Management
Parham Kazemi
Department of Information and Communications Engineering
Research output
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Thesis
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Doctoral Thesis
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Collection of Articles
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Infrastructure
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Dive into the research topics of 'Channel Charting-based Radio Resource Management'. Together they form a unique fingerprint.
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Engineering
Signal-to-Noise Ratio
100%
Radio Resource Management
100%
Basestation
66%
Dimensional Space
66%
Channel State Information
66%
Millimeter Wave
66%
Generation System
33%
Radio Link
33%
Building Block
33%
Data Rate
33%
Communication System
33%
Path Loss
33%
Handover
33%
Signal Quality
33%
Radio Environment
33%
Massive MIMO
33%
Machine Learning Technique
33%
Machine Learning Algorithm
33%
Real Space
33%
Cellular Network
33%
Beamforming
33%
Offline Training
33%
Scale Fading
33%
Computer Science
Noise-to-Signal Ratio
100%
Radio Resource Management
100%
Channel State Information
66%
Lower Dimensional Space
66%
Neighboring Cell
66%
Mobile Environment
33%
Machine Learning Algorithm
33%
Building-Blocks
33%
Machine Learning Technique
33%
Massive MIMO
33%
Generation Cellular Network
33%
Handover Decision
33%
Cellular System
33%
Training Phase
33%
Supervised Method
33%
Spatial Sampling
33%
Sampling Density
33%
Connected Device
33%
Radio Environment
33%
Generation System
33%