Operational Cellular Wireless Network Fault Detection
A Statistical Framework and Methodologies
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As reliance on wireless cellular networks becomesincreasingly prevalent as the primary form ofcommunications, the reliability and availabilityexpected of the wireless services increases.Effective fault detection, the first step in faultmanagement, is critical for a service provider toknow that an installed wireless system is capable ofproviding the service planned for the end user. Thepresentation includes: the role and importance offault management for ultra-high-availability cellularwireless networks; a discussion of the uniquechallenges posed by distributed cellular networks;practical appli...
As reliance on wireless cellular networks becomes
increasingly prevalent as the primary form of
communications, the reliability and availability
expected of the wireless services increases.
Effective fault detection, the first step in fault
management, is critical for a service provider to
know that an installed wireless system is capable of
providing the service planned for the end user. The
presentation includes: the role and importance of
fault management for ultra-high-availability cellular
wireless networks; a discussion of the unique
challenges posed by distributed cellular networks;
practical applications of a statistical framework and
methods, many of which have been widely deployed in
the field; and finally a brief discussion of a rich
area of continuing research as the fourth generation
(4G) wireless networks become ever more complex
leading to the need for self-organizing networks.
increasingly prevalent as the primary form of
communications, the reliability and availability
expected of the wireless services increases.
Effective fault detection, the first step in fault
management, is critical for a service provider to
know that an installed wireless system is capable of
providing the service planned for the end user. The
presentation includes: the role and importance of
fault management for ultra-high-availability cellular
wireless networks; a discussion of the unique
challenges posed by distributed cellular networks;
practical applications of a statistical framework and
methods, many of which have been widely deployed in
the field; and finally a brief discussion of a rich
area of continuing research as the fourth generation
(4G) wireless networks become ever more complex
leading to the need for self-organizing networks.
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