US 12,171,014 B2
Machine learning assisted user prioritization method for asynchronous resource allocation problems
Peiliang Chang, Åkersberga (SE); Akram Bin Sediq, Kanata (CA); and Mats Zachrison, Örebro (SE)
Assigned to Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
Appl. No. 18/707,254
Filed by Telefonaktiebolaget LM Ericsson (publ), Stockholm (SE)
PCT Filed Nov. 10, 2021, PCT No. PCT/IB2021/060424
§ 371(c)(1), (2) Date May 3, 2024,
PCT Pub. No. WO2023/084277, PCT Pub. Date May 19, 2023.
Prior Publication US 2024/0340939 A1, Oct. 10, 2024
Int. Cl. H04W 4/00 (2018.01); H04L 5/00 (2006.01); H04W 24/02 (2009.01); H04W 72/50 (2023.01); H04W 76/36 (2018.01)
CPC H04W 72/535 (2023.01) [H04L 5/0051 (2013.01); H04W 24/02 (2013.01); H04W 76/36 (2018.02)] 25 Claims
OG exemplary drawing
 
1. A method performed in a network node comprising:
obtaining an estimated data amount of a user equipment, UE, and a resource utilization rate;
obtaining a percentile R of the estimated data amount based on a data amount distribution table;
comparing the percentile R to the resource utilization rate; and
responsive to the percentile R being higher than the resource utilization rate, allocating a resource to the UE.