Deep learning-based receiver for orthogonal frequency-division multiplexing (OFDM) system
In this dissertation, we build a deep learning (DL)-based orthogonal frequency division multiplexing (OFDM) receiver. This receiver replaces the traditional two processes, channel estimation and signal detection with one network deployment process, which can reduce the system complexity. DL method,...
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| Format: | Thesis-Master by Coursework |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/163217 |