Invention Application
- Patent Title: METHOD AND SYSTEM FOR CHANNEL QUALITY STATUS PREDICTION IN WIRELESS NETWORK USING MACHINE LEARNING
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Application No.: US17748568Application Date: 2022-05-19
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Publication No.: US20220278728A1Publication Date: 2022-09-01
- Inventor: Satya Kumar VANKAYALA , Anshuman NIGAM , Avinash BHAT , Seungil YOON , Shweta MADHURAPANTULA , Sudharsan PARTHASARATHY , Abhay Kumar SAH
- Applicant: Samsung Electronics Co., Ltd.
- Applicant Address: KR Suwon-si
- Assignee: Samsung Electronics Co., Ltd.
- Current Assignee: Samsung Electronics Co., Ltd.
- Current Assignee Address: KR Suwon-si
- Priority: IN201941047831 20191122,IN201941047831 20201105
- Main IPC: H04B7/06
- IPC: H04B7/06 ; H04B7/0417

Abstract:
The disclosure relates to a communication method and system for converging a fifth-generation (5G) communication system for supporting higher data rates beyond a fourth-generation (4G) system with a technology for Internet of Things (IoT). The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, smart retail, security and safety services. A method for predicting channel quality status (CQS) in a wireless network by a base station (BS) is provided. The method includes receiving channel quality indicator (CQI) reports, pre-coding matrix index (PMI) reports, and rank index (RI) reports of first frequency band of a plurality of frequency bands in the wireless network, storing the CQI reports, the PMI reports, and the RI reports of the first frequency band, and predicting the CQI, the PMI and the RI of a second frequency band of the plurality of frequency bands associated with the UE based on the CQI reports, the PMI reports, and the RI reports of the first frequency band.
Public/Granted literature
- US12250044B2 Method and system for channel quality status prediction in wireless network using machine learning Public/Granted day:2025-03-11
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