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About NVIDIA. 5G Meets Deep Learning, Ray-Tracing and Gpus
This document discusses how 5G networks can leverage deep learning techniques to overcome limitations in massive MIMO and mmWave technologies. It presents an "Auto-Precoder" approach that uses a neural network to jointly perform channel estimation and predict hybrid analog-digital precoding beams. By learning optimized measurement patterns and leveraging prior observations, the deep learning model can estimate mmWave channels and design precoding solutions more efficiently than traditional techniques. It aims to enable reliable high-speed wireless connections even in highly mobile environments.
Detailed Information
| Author: | ['Pavel Schukin'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 53 |
| Language: | English |
| Format: | |
| Price: | FREE |
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