Enabling the Wireless IP Transformation
End users around the world are quickly adopting the blended lifestyle made possible by accessible and afford- able communications that allow them to blur the lines between work, home life and entertainment. To support that lifestyle, end users are subscribing to services they can easily adapt and personalize to their needs on whatever communications device they choose.
Wireless broadband data services are an important part of the blended lifestyle equation. They allow end users to not only place calls and access the Internet with their wireless devices, but also connect with their office networks over secure links, download music and videos, and take advantage of a host of
Fueling this evolution in communication are new
But while all this is good news from a business perspec- tive, the increase in data traffic is creating concerns about how IP packet data affects wireless networks. Since IP applications were not designed for transmission over a wireless infrastructure, it is no surprise that some of these applications consume significant amounts of resources in the wireless network. In addition to bandwidth, these
applications consume signaling, radio frequency (RF) channels, airtime, and backhaul resources. The perform- ance of wireless IP networks is intimately coupled to the types of applications the network transports, and in a complex way.
To accommodate the IP load, and enable resilient and robust delivery of emerging applications, wireless service providers need complete visibility of how every behavior and flow — resolved to individual devices and servers — places load on the network. This is a paradigm shift in how IP networks are currently built. This new visibility means the service provider can effectively optimize their wireless networks to deliver the continuously evolving list of applications.
Identify Resource Usage
and Manage the Network
The
This advanced wireless network monitoring product provides detailed information about how every subscriber, application, server, and flow creates actual load on your wireless data network, and delivers alerts about any behaviors that have an anomalous impact on network performance and capacity.
“There is no shortage of tools on the market that provide traffic analysis for wireless operators. Much less common, however, are tools that go beyond simply identifying traffic types or usage and provide visibility into the impact of that traffic on network performance. Most people believe that going forward — as 3G takes hold and 4G gets launched — nobody can predict which applications will drive mobile broadband uptake. If so, tools such as
PETER JARICH, RESEARCH DIRECTOR, CURRENT ANALYSIS
2 Optimize Wireless Networks for Data