US 12,232,159 B2
Enhanced monitoring and incident detection in a network
Bin Sun, Luleå (SE); Yifei Jin, Solna (SE); Athanasios Karapantelakis, Solna (SE); Daniel Lindström, Luleå (SE); and Lackis Eleftheriadis, Valbo (SE)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 17/760,533
Filed by Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
PCT Filed Sep. 16, 2019, PCT No. PCT/EP2019/074696
§ 371(c)(1), (2) Date Mar. 15, 2022,
PCT Pub. No. WO2021/052558, PCT Pub. Date Mar. 25, 2021.
Prior Publication US 2022/0361188 A1, Nov. 10, 2022
Int. Cl. H04W 72/542 (2023.01); H04B 17/318 (2015.01); H04W 64/00 (2009.01)
CPC H04W 72/542 (2023.01) [H04B 17/318 (2015.01); H04W 64/006 (2013.01)] 27 Claims
OG exemplary drawing
 
1. A wireless device that is operable to connect to a network, the wireless device comprising processing circuitry configured to cause the wireless device to perform operations comprising:
receiving, from a network node, configuration information specifying a measuring configuration for measuring signal strength of the wireless device;
measuring the signal strength in accordance with the received configuration information;
monitoring the measured signal strength; and
detecting an occurrence of an incident on a basis of the monitored measured signal strength,
wherein monitoring the measured signal strength comprises applying a machine learning algorithm to the measured signal strength; and wherein detecting the occurrence of an incident on the basis of the monitored measured signal strength comprises using the machine learning algorithm to detect anomalies in the measured signal strength that are consistent with the occurrence of an incident.