Transferlernen zur Modulationsverallgemeinerung in Sendern/empfängern mit Neuronalem Netz
Anmelder: Viavi Solutions Inc. 🇺🇸
Details
- Veröffentlichungs-Nr.
- EP4718322
- Anmeldetag
- 27. August 2025
- Veröffentlichung
- 1. April 2026
- Rechtsraum
- EP
Abstract
Transfer learning (TL)-based systems, methods, and devices are provided for neural network and/or neuromorphic network transmitters/receivers with a set of desired modulation orders. In one aspect, a source system trains a full neural net modulation/demodulation model, from which one or more upper/output layers are removed, and the remaining base layers are transferred into a target system. A set of one or more upper/output layers are generated for the set of desired modulation orders, then transferred into, and trained in, the target system. The target system may store the transferred base layers and the trained set of one or more upper/output layers for the set of desired modulation orders, and use them to modulate/demodulate any transmission having one of the set of desired modulation orders.
Anmelder
- Firma
- Viavi Solutions Inc.
- Land
- 🇺🇸 USA
US-amerikanisches Unternehmen für Netzwerk- und optische Messtechnik mit Sitz in Kalifornien. Viavi Solutions entwickelt Test-, Mess- und Überwachungslösungen für Telekommunikationsnetze und optische Anwendungen.
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