US 12,302,129 B2
Method and apparatus for scalable ML-based frameworks for resource planning in enterprise networks
Preethi Natarajan, San Diego, CA (US); and Mehmet Yavuz, Palo Alto, CA (US)
Assigned to CELONA, INC., Campbell, CA (US)
Filed by Celona, Inc., Cupertino, CA (US)
Filed on Jan. 11, 2022, as Appl. No. 17/573,523.
Claims priority of provisional application 63/276,490, filed on Nov. 5, 2021.
Prior Publication US 2023/0142927 A1, May 11, 2023
Int. Cl. H04W 24/02 (2009.01); H04W 28/16 (2009.01)
CPC H04W 24/02 (2013.01) [H04W 28/16 (2013.01)] 37 Claims
OG exemplary drawing
 
1. A method for determining network health assessment and providing network planning and recommendations in wireless enterprise networks, comprising:
a) quantifying resource health of a plurality of network elements operating within an enterprise network, wherein the resource health of each of the plurality of network elements is quantified by calculating, for each network element, a plurality of distance metrics between acceptable health parameters and observed network resource health metrics associated and corresponding to each resource associated with each of the plurality of network elements;
b) ranking each of the network elements based upon the distance metrics calculated for each network element in step a);
c) ranking factors that negatively impact the resource health of each of the network elements in the enterprise network, wherein the factors are ranked in accordance with how severely the factors impact network performance; and
d) providing network planning suggestions and recommendations to improve network performance of a selected network element, wherein the suggestions and recommendations are based upon the ranking of factors as determined during the step c).