Communication-channel tracking aided by reinforcement learning
US11128498B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 25, 2020 |
| Grant date | Sep 21, 2021 |
| Priority date | — |
| Expiry date | Feb 25, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L25/03292
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A digital circuit for implementing a channel-tracking functionality, in which an adaptive (e.g., FIR) filter is updated based on reinforcement learning. In an example embodiment, the adaptive filter may be updated using an LMS-type algorithm. The digital circuit may also include an electronic controller configured to change the convergence coefficient of the LMS algorithm using a selection policy learned by applying a reinforcement-learning technique and based on residual errors and channel estimates received over a sequence of iterations. In some embodiments, the electronic controller may include an artificial neural network. An example embodiment of the digital circuit is advantageously capable of providing improved performance after the learning phase, e.g., for communication channels exhibiting variable dynamicity patterns, such as those associated with aerial copper cables or some wireless channels.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.