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.

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.