Network planning based on crowd-sourced access point data for 5G or other next generation network

摘要

Network planning based on collected crowd-sourced access point quality and selection data can optimize access point frequency and/or bandwidth selection. A cloud-based application can be utilized in conjunction with a mobile device to build a database of access point quality and thresholds suitable for real-time and other jitter-sensitive services. The mobile device jitter measurements and selection thresholds can be collected at a cloud platform, which creates an access point performance and selection threshold profile from which the network can facilitate access point frequency and/or bandwidth selections.