Deep learning-based receiver for 5G communication system under doubly selective fading channel
With the increasing research on the fifth generation (5G) communication systems, especially in doubly selective fading channels, receiver designs based on deep learning have attracted widespread attention. This thesis proposes a receiver design utilizing deep learning, combining Convolutional Neural...
Main Author: | Wan, Yuxuan |
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Other Authors: | Teh Kah Chan |
Format: | Thesis-Master by Coursework |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/180310 |
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