Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning
Channel extrapolation in the frequency domain is an important tool for reducing overhead and latency in frequency division duplex (FDD) wireless communications systems. Over the past years, various machine learning (ML) techniques have been proposed for this goal, but their effectiveness is usually...
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| Main Authors: | Michael Neuman, Daoud Burghal, Andreas F. Molisch |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11017722/ |
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