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About Deep Learning For PHY Layer 5G Challenges
This document discusses using deep learning techniques for 5G wireless communications. It reviews how deep learning has been used to optimize wireless systems and proposes new deep learning frameworks for challenges in 5G like non-orthogonal multiple access (NOMA), massive MIMO, and millimeter wave communications. Deep learning has potential advantages over traditional methods for end-to-end optimization of complex communication systems and handling time-varying channel conditions with large datasets. The document envisions deep learning bringing new advances to communication theories to help meet the demands of 5G networks.
Detailed Information
| Author: | ['eng.ashishmishra2012'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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