Systems and methods for enhancing communication network performance using vector based deep learning
US11303348B1 · kind B1 · utility
2Cited by
28References
18Claims
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Key dates
| Filing date | May 28, 2020 |
| Grant date | Apr 12, 2022 |
| Priority date | — |
| Expiry date | Dec 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for forming radio frequency beams in communication systems are provided. Signals from one or more devices are received at a base station and are processed using a vector based deep learning (VBDL) model or network. The VBDL model can receive and process vector and/or spatial information related to or part of the received signals. An optimal beamforming vector for a received signal is determined by the VBDL model, without reference to a codebook. The VBDL model can incorporate parameters that are pruned during training to provide efficient operation of the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.