US 11,888,706 B2
Controlling cognitive functions in a network
Stephen Mwanje, Dorfen (DE); Janne Ali-Tolppa, Taufkirchen (DE); and Jürgen Goerge, Neuried (DE)
Assigned to NOKIA SOLUTIONS AND NETWORKS OY, Espoo (FI)
Appl. No. 17/618,753
Filed by NOKIA SOLUTIONS AND NETWORKS OY, Espoo (FI)
PCT Filed Jun. 19, 2019, PCT No. PCT/EP2019/066169
§ 371(c)(1), (2) Date Dec. 13, 2021,
PCT Pub. No. WO2020/253953, PCT Pub. Date Dec. 24, 2020.
Prior Publication US 2022/0263726 A1, Aug. 18, 2022
Int. Cl. H04L 29/08 (2006.01); H04L 41/16 (2022.01); H04L 41/14 (2022.01); H04L 41/147 (2022.01)
CPC H04L 41/16 (2013.01) [H04L 41/145 (2013.01); H04L 41/147 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for controlling cognitive functions in a network, the cognitive functions each comprising a learning module adapted to observe characteristics of the network and an inference module adapted to conclude, from the characteristics observed by the learning module, on a behavior of the network resulting from the observed characteristics, the method comprising:
halting and/or restarting operation of the learning module of a cognitive function of the cognitive functions;
controlling operation of the inference module of the cognitive function independently from the halting and/or restarting the operation of the learning module of the cognitive function; and
upon detecting a predetermined event, setting, via a first interface, at least one of a learning state for the learning module or an inference state for the inference model to a first predetermined value and transmitting, via the first interface or a second interface, the at least one of the learning state and the inference state to the network.