WO2026013657 - MACHINE LEARNING FOR CHANNEL ESTIMATION
National phase entry is expected:
Publication Number
WO/2026/013657
Publication Date
15.01.2026
International Application No.
PCT/IB2025/059163
International Filing Date
11.09.2025
Title **
[English]
MACHINE LEARNING FOR CHANNEL ESTIMATION
[French]
APPRENTISSAGE AUTOMATIQUE POUR UNE ESTIMATION DE CANAL
Applicants **
LENOVO (UNITED STATES) INC.
Inventors
BARZEGAR KHALILSARAI, Mahdi
KOTHAPALLI, Venkata Srinivas
Priority Data
18/885,051
13.09.2024
US
Application details
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2336 | |
| EPO | Filing, Examination, Granting | 11262 | |
| Japan | Filing, Examination, Granting | 2307 | |
| South Korea | Filing, Examination, Granting | 2385 | |
| USA | Filing, Examination, Granting | 5340 |
Total:
23,630
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Abstract[English]
Various aspects of the present disclosure relate to machine learning for channel estimate. An apparatus, such as a user equipment (UE) and/or network equipment, receives one or more reference signals (RS) that correspond to one or more RS resources for a channel. The apparatus generates a channel estimate for the channel via a machine learning model, wherein one or more model parameters for the machine learning model are configured based at least in part on the one or more RS.[French]
Divers aspects de la présente divulgation concernent un apprentissage automatique pour une estimation de canal. Un appareil, tel qu'un équipement utilisateur (UE) et/ou un équipement de réseau, reçoit un ou plusieurs signaux de référence (RS) qui correspondent à une ou plusieurs ressources RS pour un canal. L'appareil génère une estimation de canal pour le canal par l'intermédiaire d'un modèle d'apprentissage automatique, un ou plusieurs paramètres de modèle pour le modèle d'apprentissage automatique étant configurés sur la base, au moins en partie, du ou des RS.