US 12,262,230 B2
Methods, apparatus and computer-readable mediums relating to detection of sleeping cells in a cellular network
Selim Ickin, Stocksund (SE); Daniel Wilson, Jackson, NJ (US); Lackis Eleftheriadis, Gävle (SE); Leonid Mokrushin, Uppsala (SE); and Ravi Kiran Kotty, Hyderabad (IN)
Assigned to TELEFONAKTIEBOLAGET LM ERICSSON (PUBL), Stockholm (SE)
Appl. No. 17/268,809
Filed by Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
PCT Filed Aug. 20, 2018, PCT No. PCT/EP2018/072423
§ 371(c)(1), (2) Date Feb. 16, 2021,
PCT Pub. No. WO2020/038544, PCT Pub. Date Feb. 27, 2020.
Prior Publication US 2021/0168638 A1, Jun. 3, 2021
Int. Cl. H04W 24/08 (2009.01); G06N 20/00 (2019.01); H04L 41/147 (2022.01)
CPC H04W 24/08 (2013.01) [G06N 20/00 (2019.01); H04L 41/147 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method of detecting a sleeping cell in a cellular communication network, the method comprising:
monitoring, by a radio transmission point, power consumption of the radio transmission point of the cellular communication network;
providing, by the radio transmission point, the power consumption of the radio transmission point as an input to a classification model located at the radio transmission point, developed using a machine-learning algorithm, wherein the classification model is a final classification model that is generated by amalgamating a plurality of locally trained classification models obtained from a plurality of radio transmission points; and
obtaining, by the radio transmission point, an output from the classification model, the output classifying the radio transmission point as serving one of a sleeping cell and a non-sleeping cell, wherein a power reset of the radio transmission point or a power amplifier of the radio transmission point is initiated in response to the radio transmission point being classified as a sleeping cell.