Intelligent voice network monitoring

• US 20060221942A1
• Filed: 03/31/2005
• Published: 10/05/2006
• Est. Priority Date: 03/31/2005
• Status: Abandoned Application

• Current Assignee: Telogy Networks, Inc. (Texas Instruments, Inc.)
• Original Assignee: Telogy Networks, Inc. (Texas Instruments, Inc.)
• Inventors: Fruth, Frank, Kosanovic, Bogdan
• Application Number:
  US11/095,353
• Publication Number:
  US 20060221942A1
• Time in Patent Office: Days
• US Class Current: 370/356
• CPC Class Codes: H04M 3/2236 Quality of speech transmission monitoring
• CPC Class Codes: H04M 7/006 Networks other than PSTN/ISDN providing telephone service, e.g. Voice over Internet Protocol (VoIP) , including next generation networks with a packet-switched transport layer H04L65/00 takes precedence; aspects not specific to the type of network H04M3/00; special services in those networks H04M3/42

Abstract

Monitoring voice quality passively across a telecommunications network and report monitoring data to a central network management system. Network is monitored for potential voice quality issues for pro-active isolation of problems prior to customer complaints about the problems. A wide cross-section of voice quality related data for IP and other networks is gathered and correlated together to provide voice quality assessments of network performance.

Claims

1. A method for intelligent network monitoring in a telecommunications network, comprising:

generating voice quality data from a plurality of network elements;

analyzing said voice quality data using voice quality rules for said network;

correlating said analyzed voice quality data from different said network elements; and

providing a voice quality assessment of said elements in said network.

2. The method of claim 1, further comprising:

aggregating said voice quality data from different data-generating sources within one or more said network elements; and

said providing said voice quality assessment comprises using said aggregated voice quality data to provide said assessment.

3. The method of claim 1, wherein said correlating further comprises:

tracing routes in said network of a voice call; and

correlating said voice quality data collected that affect said voice call along said traced routes.

4. The method of claim 1, wherein said generating comprises correlating comprises gathering and comparing said analyzed voice quality data to determine quality of a call setup and voice data transmissions along a route in said network.

5. A method of monitoring a voice over packet network, comprising:

determining, with a fuzzy inference system, performance of a plurality of network elements;

generating fuzzy voice quality data assessments of said network elements;

analyzing said fuzzy assessments using a set of voice quality rules for said network; and

analyzing said fuzzy data sets to determine performance of an aspect of said network.

6. The method of claim 5, wherein said analyzing comprises defining a plurality of rules for scaling an output of said fuzzy inference system;

and

aggregating a plurality of said scaled outputs into a single fuzzy score, wherein said score determines a quality of an element of said network.

7. The method of claim 6, wherein said aggregating comprises aggregating fuzzy data sets from a lower hierarchical level in said network into a higher hierarchical level in said network.

8. The method of claim 5, wherein said analyzing comprises monitoring for voice quality of a voice over Internet Protocol call by analyzing fuzzy data sets from components in said network that are associate with said call.

9. The method of claim 5, wherein analyzing comprises combining fuzzy data sets from different types of said network components to evaluate trends in said fuzzy data sets.

10. The method of claim 5, wherein said analyzing further comprises determining a quality of a voice call on said network by tracing said call through said network and analyzing said fuzzy data sets associated with elements of said route.