Method and system for channel quality status prediction in wireless network using machine learning
US12250044B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 19, 2022 |
| Grant date | Mar 11, 2025 |
| Priority date | — |
| Expiry date | May 6, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W72/542
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.