Abstract: The electronic devices described herein are configured to enhance user experience associated with a network connection when transitioning the network connection between access points. Determinations to scan for available access points and transfer the network connection to an alternative access point are based on connection attributes and/or access point attributes that are compared to scan criteria and transfer criteria. Further, the scan criteria and transfer criteria are updated, or adjusted, according to machine learning techniques such that the determinations to scan for access points and transfer between access points are tuned on a per-device and/or per-user level to fit patterns of use of a particular device and/or user. Over time, the updates to the scan criteria and transfer criteria based on machine learning provide an increasingly consistent, high quality user experience while roaming efficiently between access points.

Abstract: The electronic devices described herein are configured to enhance user experience associated with a network connection when transitioning the network connection between access points. Determinations to scan for available access points and transfer the network connection to an alternative access point are based on connection attributes and/or access point attributes that are compared to scan criteria and transfer criteria. Further, the scan criteria and transfer criteria are updated, or adjusted, according to machine learning techniques such that the determinations to scan for access points and transfer between access points are tuned on a per-device and/or per-user level to fit patterns of use of a particular device and/or user. Over time, the updates to the scan criteria and transfer criteria based on machine learning provide an increasingly consistent, high quality user experience while roaming efficiently between access points.