Title:
ARTIFICIAL INTELLIGENCE-ENABLED LINK ADAPTATION
Document Type and Number:
WIPO Patent Application WO/2022/257157
Kind Code:
A1
Abstract:
Signaling resource overhead associated with current communication link adaptation mechanisms can be quite large and such mechanisms typically rely upon a channel state information (CSI) feedback process that can result in poor scheduling performance. Embodiments are disclosed in which a first device channel state information characterizing a wireless communication channel between the first device and a second device, and trains a machine learning (ML) module of the first device using the CSI as an ML module input and one or more modulation and coding scheme (MCS) parameters as an ML module output to satisfy a training target. By applying the concepts disclosed herein, overhead associated with feedback for MCS selection may be reduced compared to conventional link adaptation procedures, because, once ML modules at a pair of devices have been trained, the MCS selection by the ML modules can be done without requiring the ongoing feedback of CSI.
Inventors:
TANG HAO (CN)
MA JIANGLEI (CA)
BI XIAOYAN (CN)
ZHU PEIYING (CA)
TONG WEN (CA)
MA JIANGLEI (CA)
BI XIAOYAN (CN)
ZHU PEIYING (CA)
TONG WEN (CA)
Application Number:
PCT/CN2021/099911
Publication Date:
December 15, 2022
Filing Date:
June 12, 2021
Export Citation:
Assignee:
HUAWEI TECH CO LTD (CN)
International Classes:
H04L25/02; G06N99/00
Domestic Patent References:
| WO2021049984A1 | 2021-03-18 |
Foreign References:
| CN107994973A | 2018-05-04 | |||
| CN108462517A | 2018-08-28 | |||
| CN112910520A | 2021-06-04 | |||
| CN111901024A | 2020-11-06 |
Other References:
DEUTSCHE TELEKOM: "Use cases for AI/ML in RAN and potential benefits", 3GPP DRAFT; R3-206198, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE, vol. RAN WG3, no. E-meeting; 20201102 - 20201112, 22 October 2020 (2020-10-22), Mobile Competence Centre ; 650, route des Lucioles ; F-06921 Sophia-Antipolis Cedex ; France , XP051941655
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