DocumentCode :
2322524
Title :
Performance Monitoring with Predictive QoS Analysis of LTE Backhaul
Author :
Yang, Charlie Chen-Yui ; Ketcham, Mahasak ; Lu, Dan ; Huang Lee ; Savoor, Raj ; Kinsey, David
Author_Institution :
AT&T, Middletown, NJ, USA
fYear :
2011
fDate :
10-12 Oct. 2011
Firstpage :
162
Lastpage :
169
Abstract :
LTE (Long Term Evolution) represents an emerging technology that will change how mobility service providers connect user devices to their infrastructure over IP networks. To support growing mobile broadband data loads, an all-IP Ethernet cell site backhaul (CSBH) network infrastructure will make possible real-time high bandwidth applications using mobiles. This paper discusses the changes that LTE will bring and examines network operations impacts on the CSBH. It also introduces operations support system solutions to address performance management (PM) to determine if impaired LTE service has occurred. This paper covers major aspects of system solutions, including: capabilities for auto-detection, root-cause analysis based on correlation algorithms, and traffic congestion control mechanisms. It also presents functionality for quality of service (QoS) trending projections to manage traffic capacity and trigger the traffic control mechanisms, to protect network resources and improve the overall customer experience.
Keywords :
IP networks; Long Term Evolution; local area networks; quality of service; telecommunication traffic; CSBH network infrastructure; IP network; LTE backhaul; LTE service; Long Term Evolution; all-IP Ethernet cell site backhaul; auto-detection; correlation algorithm; customer experience; mobile broadband data load; mobility service provider; network operation; network resource; performance management; performance monitoring; predictive QoS analysis; quality of service; root-cause analysis; traffic capacity management; traffic congestion control mechanism; Computer architecture; Correlation; IP networks; Monitoring; Network topology; Quality of service; Topology; CSBH; LTE; Performance Monitoring; QoS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2011 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-1827-4
Type :
conf
DOI :
10.1109/CyberC.2011.35
Filename :
6079419
Link To Document :
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