Abstract
Dynamic changes in the behavior of Radio Access Nodes (RANs) require dynamic adjustment of core network's communication strategy with such RAN. The techniques presented herein specify a novel approach to dynamically calculate and adjust the paging retry timer on a radio access network, such as a 5G Mobile Network, in order to prevent excessive signaling on the radio access network causing unnecessary usage of valuable radio resources. The techniques presented herein leverage subscriber and RAN statistics to perform supervised time-series regression in order to calculate the optimal time the core network should wait before attempting to retry the paging message to a wider list of RANs.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Habibullah, Tariq; Lanov, Dennis; Kunjan, Solomon Ayyankulankara; and Crum, Chad, "MACHINE LEARNING FOR WIRELESS SOLUTION OPTIMIZATIONS: INTELLIGENT UE PAGING RETRY TIMER", Technical Disclosure Commons, (June 19, 2018)
https://www.tdcommons.org/dpubs_series/1260