Telefonaktiebolaget Lm Ericsson (publ)

Diego Martos

Mahmood Osorio

Eugene Gomes

Xin Li

Premnath Kandhasamy Narayanan

Amy De Buitléir

James O'Meara

Donald Stephen Staudte

Armagan Uskudar

A method, apparatus and network node for clustering a terrestrial area based on Geohash coordinates by selecting a node based on a Geohash area identified by a Geohash string of a predetermined length; subdividing the Geohash area into subareas by increasing the Geohash string by a length of one; and sequencing through the subareas to identify subarea/subareas that exceed a threshold number of a selected parameter. For subareas not exceeding the threshold number of the selected parameter, combining those subareas into clusters without exceeding the threshold number of the selected parameter in respective clusters. For subareas exceeding the threshold number of the selected parameters, subdividing those subareas into further subareas by increasing the Geohash string by one and sequencing through the further subareas to place the further subareas into clusters without exceeding the threshold number of the selected parameter.

Geohash based auto-segmentation

A method performed by a node in a communications network for predicting energy usage in the communications network. The method comprises obtaining values of network parameters for a plurality of nodes in the communications network and corresponding energy usage measurements for the plurality of nodes, and obtaining a subset of the network parameters that are correlated with the energy usage measurements. The method then comprises training a first model using a first machine learning process to take as input the values of the subset of network parameters for the nodes in the plurality of nodes, and output a prediction of the corresponding energy usage measurements.

Energy usage in a communications network

Growing community of inventors

Plano, TX, United States of America

Diego Martos