- Patent Title: Devices and methods for machine learning assisted sphere decoding
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Application No.: US17620715Application Date: 2020-06-23
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Publication No.: US11888655B2Publication Date: 2024-01-30
- Inventor: Ghaya Rekaya , Aymen Askri
- Applicant: INSTITUT MINES-TELECOM
- Applicant Address: FR Palaiseau
- Assignee: INSTITUT MINES TELECOM
- Current Assignee: INSTITUT MINES TELECOM
- Current Assignee Address: FR Palaiseau
- Agency: BakerHostetler
- Priority: EP 305886 2019.07.01
- International Application: PCT/EP2020/067396 2020.06.23
- International Announcement: WO2021/001199A 2021.01.07
- Date entered country: 2021-12-19
- Main IPC: H04L25/03
- IPC: H04L25/03 ; G06N20/10 ; G06N3/048

Abstract:
A decoder for decoding a signal received through a transmission channel represented by a channel matrix using a search sphere radius. The decoder comprises a radius determination device for determining a search sphere radius from a preliminary radius. The radius determination device is configured to: i. apply a machine learning algorithm to input data derived from the received signal, the channel matrix and a current radius, the current radius being initially set to the preliminary radius, which provides a current predicted number of lattice points associated with the current radius; ii. compare the current predicted number of lattice points to a given threshold; iii. update the current radius if the current predicted number of lattice points is strictly higher than the given threshold, the current radius being updated by applying a linear function to the current radius; Steps i to iii are iterated until a termination condition is satisfied, the termination condition being related to the current predicted number, the radius determination device being configured to set the search sphere radius to the current radius in response to the termination condition being satisfied.
Public/Granted literature
- US20220247605A1 DEVICES AND METHODS FOR MACHINE LEARNING ASSISTED SPHERE DECODING Public/Granted day:2022-08-04
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