公开(公告)号：US11963051B2

公开(公告)日：2024-04-16

申请号：US17024301

申请日：2020-09-17

Applicant: Intel Corporation

Inventor： Ashwin Umapathy ,  Akshaya Ravishankar ,  Sanket Vinod Shingte

IPC: H04W36/00

CPC classification number: H04W36/00837 ,  H04W36/0061

Abstract: Disclosed embodiments provide a handover prediction scheme that is based on contextual awareness of a compute node, such as a mobile device. The contextual information is used to predict network availability in a predicted target location, which is an area that a compute node is likely to travel. The use of sensors embedded in or accessible by the compute node may be used to carry out aspects of the embodiments. A reinforcement learning recommendation model is used to determine an optimal network, radio access technology, and/or network access node to connect with ahead of arriving at the predicted target location at a predicted arrival time. Other embodiments are described and/or claimed.

公开(公告)号：US20210007023A1

公开(公告)日：2021-01-07

申请号：US17024301

申请日：2020-09-17

Applicant: Intel Corporation

Inventor： Ashwin Umapathy ,  Akshaya Ravishankar ,  Sanket Vinod Shingte

IPC: H04W36/00

Abstract: Disclosed embodiments provide a handover prediction scheme that is based on contextual awareness of a compute node, such as a mobile device. The contextual information is used to predict network availability in a predicted target location, which is an area that a compute node is likely to travel. The use of sensors embedded in or accessible by the compute node may be used to carry out aspects of the embodiments. A reinforcement learning recommendation model is used to determine an optimal network, radio access technology, and/or network access node to connect with ahead of arriving at the predicted target location at a predicted arrival time. Other embodiments are described and/or claimed.