WO2023199293 - TECHNIQUES FOR JOINT CHANNEL STATE INFORMATION TRAINING AND PRECODER MATRIX INDICATOR FEEDBACK FOR ARTIFICIAL INTELLIGENCE-ENABLED NETWORKS
National phase entry:
Publication Number
WO/2023/199293
Publication Date
19.10.2023
International Application No.
PCT/IB2023/053929
International Filing Date
17.04.2023
Title **
[English]
TECHNIQUES FOR JOINT CHANNEL STATE INFORMATION TRAINING AND PRECODER MATRIX INDICATOR FEEDBACK FOR ARTIFICIAL INTELLIGENCE-ENABLED NETWORKS
[French]
TECHNIQUES D'APPRENTISSAGE D'INFORMATIONS D'ÉTAT DE CANAL COMMUNES ET DE RÉTROACTION D'INDICATEUR DE MATRICE DE PRÉCODEUR POUR RÉSEAUX ACTIVÉS PAR INTELLIGENCE ARTIFICIELLE
Applicants **
LENOVO (SINGAPORE) PTE. LTD.
Inventors
HINDY, Ahmed
NANGIA, Vijay
STOICA, Razvan-Andrei
Priority Data
63/331,579
15.04.2022
US
Application details
| Total Number of Claims/PCT | * |
| Number of Independent Claims | * |
| Number of Priorities | * |
| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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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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| * | |
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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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* 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, Examination, Granting | 2262 | |
| EPO | Filing, Examination, Granting | 9100 | |
| Japan | Filing, Examination, Granting | 2122 | |
| South Korea | Filing, Examination, Granting | 2008 | |
| USA | Filing, Examination, Granting | 4740 |

Total:
20,232
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
Apparatuses, methods, and systems are described for techniques for joint CSI training and PMI feedback for Al-enabled networks. An apparatus (800) includes a processor (805) and a memory (810) that includes instructions that are executable by the processor to cause the apparatus (800) to receive, based on a CSI reporting setting, a set of RSs for a channel measurement corresponding to an NZP CSI-RS resource, generate a CSI report based on the channel measurement, the CSI report comprising precoding matrix information for a precoding matrix and a set of coefficients that correspond to at least one dimension of the precoding matrix, and transmit the CSI report to a network.[French]
L'invention concerne des appareils, des procédés et des systèmes pour des techniques d'apprentissage d'informations d'état de canal (CSI) communes et de rétroaction d'indicateur de matrice de précodeur (PMI) pour des réseaux activés par intelligence artificielle (lA). Un appareil (800) comprend un processeur (805) et une mémoire (810) qui comprend des instructions qui sont exécutables par le processeur pour amener l'appareil (800) à recevoir, sur la base d'un réglage de rapport de CSI, un ensemble de RS pour une mesure de canal correspondant à une ressource de CSI-RS NZP, générer un rapport de CSI sur la base de la mesure de canal, le rapport de CSI comprenant des informations de matrice de précodage pour une matrice de précodage et un ensemble de coefficients qui correspondent à au moins une dimension de la matrice de précodage, et transmettre le rapport de CSI à un réseau.