WO2024150208 - IMPROVING ACCURACY OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML) BASED CHANNEL STATE INFORMATION (CSI) FEEDBACK
National phase entry is expected:
Publication Number
WO/2024/150208
Publication Date
18.07.2024
International Application No.
PCT/IB2024/053118
International Filing Date
29.03.2024
Title **
[English]
IMPROVING ACCURACY OF ARTIFICIAL INTELLIGENCE/MACHINE LEARNING (AI/ML) BASED CHANNEL STATE INFORMATION (CSI) FEEDBACK
[French]
AMÉLIORATION DE LA PRÉCISION D'UNE RÉTROACTION D'INFORMATIONS D'ÉTAT DE CANAL (CSI) BASÉE SUR L'INTELLIGENCE ARTIFICIELLE/APPRENTISSAGE AUTOMATIQUE (AI/ML)
Applicants **
LENOVO (SINGAPORE) PTE LIMITED
151, LORONG CHUAN #02-01, NEW TECH PARK
SINGAPORE 556741, SG
Inventors
SRINIVAS KOTHAPALLI, Venkata
8001 Development Drive, 2nd Floor
Morrisville, North Carolina 21560, US
HINDY, Ahmed
8001 Development Drive, 2nd Floor
Morrisville, North Carolina 21560, US
POURAHMADI, Vahid
8001 Development Drive, 2nd Floor
Morrisville, North Carolina 21560, US
NANGIA, Vijay
8001 Development Drive, 2nd Floor
Morrisville, North Carolina 21560, US
Priority Data
63/493,573
31.03.2023
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
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| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
| Pages for Publication | * |
| Number of Pages with Drawings | * |
| Pages of Specification | * |
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International Searching Authority |
EPO
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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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| Translation |
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Recalculate
* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing | 1387 | |
| EPO | Filing, Examination | 6583 | |
| Japan | Filing | 588 | |
| South Korea | Filing | 574 | |
| USA | Filing, Examination | 4510 |
Total: 13642 USD
The term for entry into the National Phase has expired. This quotation is for informational purposes only
Abstract[English]
Various aspects of the present disclosure relate to systems and methods for reporting (e.g., transmitting, outputting, signaling) channel state information (CSI) feedback between network nodes using artificial intelligence/machine learning (AI/ML) models. The systems and methods may transmit channel state information (CSI) and a set of side information associated with the CSI. Using the set of side information, the systems and methods (e.g., a decoder) may detect errors when reconstructing the CSI and correct these errors to output a matrix that is the same as an initial matrix input into an encoder before transmission of the CSI.[French]
Divers aspects de la présente invention concernent des systèmes et des procédés pour rapporter (par exemple, transmettre, délivrer, signaler) une rétroaction d'informations d'état de canal (CSI) entre des noeuds de réseau à l'aide de modèles d'intelligence artificielle/apprentissage automatique (AI/ML). Les systèmes et les procédés peuvent transmettre des informations d'état de canal (CSI) et un ensemble d'informations parallèles associées aux CSI. A l'aide de l'ensemble d'informations annexes, les systèmes et les procédés (par exemple, un décodeur) peuvent détecter des erreurs lors de la reconstruction des CSI et corriger ces erreurs pour délivrer en sortie une matrice qui est la même qu'une entrée de matrice initiale dans un codeur avant la transmission des CSI.