METHOD AND SYSTEM FOR ANOMALY DETECTION AND NETWORK DEPLOYMENT BASED ON QUANTITATIVE ASSESSMENT

摘要

A method, a device, and a non-transitory storage medium provide a validation and anomaly detection service. The service includes quantitatively assessing latent space data representative of network performance data, which may be generated by a generative model, based on quantitative values pertaining to quantitative criteria. The quantitative criteria may include Hausdorff distances, divergence, joint entropy, and/or total correlation. The service further includes generating geogrid data for services areas of deployed network devices and service areas for prospective and new deployments based on selected latent space data and corresponding network performance data.