Invention Grant
- Patent Title: Efficient 3D mobility support using reinforcement learning
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Application No.: US17766317Application Date: 2020-10-05
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Publication No.: US12245086B2Publication Date: 2025-03-04
- Inventor: Xingqin Lin , Yun Chen , Mohammad Mozaffari , Talha Khan
- Applicant: Telefonaktiebolaget LM Ericsson (PUBL)
- Applicant Address: SE Stockholm
- Assignee: Telefonaktiebolaget LM Ericsson (PUBL)
- Current Assignee: Telefonaktiebolaget LM Ericsson (PUBL)
- Current Assignee Address: SE Stockholm
- Agency: Sage Patent Group
- International Application: PCT/IB2020/059333 WO 20201005
- International Announcement: WO2021/064713 WO 20210408
- Main IPC: H04W36/00
- IPC: H04W36/00 ; H04W36/24 ; H04W36/32

Abstract:
According to some embodiments, a method performed by a network node for mobility management comprises obtaining data samples for modeling a wireless network environment that comprises a plurality of cells and building a machine learning model of the wireless network using the obtained data samples. The machine learning model is trained to determine a sequence of handovers for a wireless device among the plurality of cells for the wireless device to traverse from a source cell to a destination cell. The method further comprises receiving mobility information for a wireless device, determining one or more handover operations for the wireless device based on the mobility information, and transmitting the one or more handover operations to the wireless device.
Public/Granted literature
- US20240056933A1 EFFICIENT 3D MOBILITY SUPPORT USING REINFORCEMENT LEARNING Public/Granted day:2024-02-15
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