METHOD FOR ESTIMATING A TRAFFIC MATRIX IN A COMMUNICATION NETWORK USING NON-STATIONARY DATA

Patent №

US 7,363,386

Granted

2008-04-22

Filed 2003

Owner

SPRINT COMMUNICATIONS COMPANY L.P.

Lab

AI components

2

ml · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10702699

The present invention comprises methods for increasing the rank of the routing matrix of an IP network by systematically altering link weights in the IP network. A full rank routing matrix may be used with further methods in accordance with the present invention to estimate the mean traffic of the IP network based upon the full rank routing matrix and measured link utilization values. The mean traffic and the covariance of the traffic may be iteratively estimated until the estimates coverage. Example methods in accordance with the present invention for estimating mean traffic and covariance of traffic are described for both stationary and non-stationary link utilization data.

AI classification

Evolutionary computation0.99
Machine learning0.75
Planning0.48
AI hardware0.01
Natural language0.00
Knowledge representation0.00
Vision0.00
Speech0.00

Ownership

SPRINT COMMUNICATIONS COMPANY L.P.

assignment · 146790290

Assignors

NUCCI, ANTONIO, TAFT, NINA

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC