Method and apparatus for impairment diagnosis in communication systems

US6970560B1 · kind B1 · utility

Assignee

• TOKYO ELECTRON LIMITED · JP

Inventors

• John J. Hench · Los Gatos, US
• Thorkell Gudmundsson · San Jose, US
• Amir Gholamhossein Zadeh Aghdam · Santa Clara, US
• Ioannis Kanellakopoulos · Cupertino, US
• Gurcan Aral · Cupertino, US
• Yaolong Tan · Suzhou, CN
• Harbinder Singh · Cupertino, US
• Sunil Shah · Los Altos, US

Key dates

• Filing date: Nov 10, 2000
• Grant date: Nov 29, 2005
• Expiry date: May 13, 2023

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04M3/18
• WIPO field: Telecommunications
• WIPO sector: Electrical engineering

Abstract

Events that occur in a number of in domain communication channels where each channel is used by a communication service, are detected. A Bayesian Belief Network (BBN) defines a probabilistic cause-effect relationship between each cause and each effect on a victim channel. The probability of each of a number of possible causes as being a cause of interference in the victim channel is determined, by propagating observations of the interference backwards through the BBN.