US 11,924,053 B2
Intelligent infrastructure management in a cloud radio access network
Parminder Singh Sethi, Ludhiana (IN); Nithish Kote, Bangalore (IN); and Thanuja C, Bangalore (IN)
Assigned to Dell Products L.P., Round Rock, TX (US)
Filed by Dell Products L.P., Round Rock, TX (US)
Filed on Jun. 13, 2022, as Appl. No. 17/838,624.
Prior Publication US 2023/0403203 A1, Dec. 14, 2023
Int. Cl. H04L 41/16 (2022.01); G06N 20/20 (2019.01); H04L 41/0631 (2022.01); H04L 41/0654 (2022.01); H04W 24/02 (2009.01); H04W 88/08 (2009.01)
CPC H04L 41/16 (2013.01) [G06N 20/20 (2019.01); H04L 41/0645 (2013.01); H04L 41/0654 (2013.01); H04W 24/02 (2013.01); H04W 88/085 (2013.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising:
at least one processing device comprising a processor coupled to a memory;
the at least one processing device being configured to:
obtain, from a plurality of baseband units of a radio access network, a plurality of data sets, wherein respective ones of the plurality of data sets correspond to operational statistics of respective ones of the plurality of baseband units;
generate, for each of at least a subset of the plurality of baseband units, a forecasted data set corresponding to one or more predicted operational statistics of the baseband unit, wherein the forecasted data set is generated using a first machine learning model;
analyze, for each of the at least a subset of the plurality of baseband units, the forecasted data set to predict a future occurrence of a technical issue and to determine at least one corrective action for the predicted future occurrence of the technical issue, wherein the analysis is performed using a second machine learning model; and
cause initiation of the at least one corrective action.