The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 03, 2017

Filed:

Jan. 30, 2015
Applicants:

Edward Grinshpun, Murray Hill, NJ (US);

Qi Liao, Stuttgart, DE;

David Faucher, Murray Hill, NJ (US);

Zulfiquar Sayeed, Highstown, NJ (US);

Sameer Sharma, Murray Hill, NJ (US);

Inventors:

Edward Grinshpun, Murray Hill, NJ (US);

Qi Liao, Stuttgart, DE;

David Faucher, Murray Hill, NJ (US);

Zulfiquar Sayeed, Highstown, NJ (US);

Sameer Sharma, Murray Hill, NJ (US);

Assignee:

Alcatel Lucent, Boulogne-Billancourt, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 72/04 (2009.01); H04L 12/24 (2006.01); H04W 24/08 (2009.01); H04L 12/859 (2013.01); H04L 12/851 (2013.01); H04W 24/10 (2009.01); H04W 76/02 (2009.01);
U.S. Cl.
CPC ...
H04L 41/0803 (2013.01); H04L 47/2441 (2013.01); H04L 47/2475 (2013.01); H04W 24/08 (2013.01); H04W 24/10 (2013.01); H04W 76/021 (2013.01);
Abstract

An application type of a bearer is classified by computing statistics vectors of bearer metrics and locating points on a label map corresponding to the statistics vectors to obtain application type information. The application type information is exported to a network node to control an operation of application. The bearer metrics include bearer identifier information and bearer condition information, where the bearer condition information includes channel condition information and cell congestion level information. The bearers are paired, such that uplink and downlink bearers for a same application are identified, so that paired bearers are classified together. The label map is produced using previously classified bearer information to calculate cluster centroids and cluster regions that define portions of the map for particular application types. The bearer is classified by determining which cluster region is closest to points on the label map that are associated with the statistics vectors for a particular bearer.


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