WO2025178611 - PARALLEL QRD-MLD FOR MIMO DETECTION
National phase entry is expected:
Publication Number
WO/2025/178611
Publication Date
28.08.2025
International Application No.
PCT/US2024/016489
International Filing Date
20.02.2024
Title **
[English]
PARALLEL QRD-MLD FOR MIMO DETECTION
[French]
QRD-MLD PARALLÈLE POUR DÉTECTION MIMO
Applicants **
CUI, Song
Inventors
CUI, Song
Application details
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| Number of Multi-Dependent Claims | * |
| Number of Drawings | * |
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International Searching Authority |
USPTO
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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 |
Natural Person
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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 | 1883 | |
| EPO | Filing, Examination, Granting | 8683 | |
| Japan | Filing, Examination, Granting | 1844 | |
| South Korea | Filing, Examination, Granting | 1379 | |
| USA | Filing, Examination, Granting | 4310 |

Total:
18,099
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Abstract[English]
th transmitting data and the last transmitting data. The QR decomposition is performed on these permutations of channel matrix and data. The Maximum likelihood (ML) rate metric of every transmitting data is derived from these QR decompositions. This method achieves better performance than conventional ML detection method. Its complexity is much lower than the other MIMO detection methods. Its detection latency is much lower than other methods.[French]
ème données transmises et les dernières données transmises. La décomposition QR est effectuée sur ces permutations de matrice de canal et de données. La mesure de débit de vraisemblance maximale (ML) de chaque donnée de transmission est dérivée de ces décompositions QR. Ce procédé permet d'obtenir une meilleure performance que le procédé de détection ML classique. Sa complexité est beaucoup plus faible que les autres procédés de détection MIMO. Sa latence de détection est bien inférieure à d'autres procédés.