Deep-learning for distributed channel feedback and precoding
US11832259B2 · kind B2 · utility
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21Claims
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Key dates
| Filing date | Jun 26, 2020 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Jun 12, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W76/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the present disclosure provide a deep-learning-based framework for designing components of a downlink precoding system. The components of such a system include downlink training pilots and channel estimation based on receipt of the downlink training pilots. Another component involves channel measurement and feedback strategy at the user equipment. The components include a precoding scheme designed at the base station based on the feedback from the user equipment.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.