Recent earnings from some worldwide major carriers show strong growth. The underlying market driver for these carriers was increased “data traffic.” In part thanks to the introduction of popular new devices such as iPhone, the use of data services on mobile networks has exploded. While fast increasing data traffic in the converged mobile network has become the underlying market driver for the mobile operators, the beast is not far behind because IP networks can carry traffic for all kinds of applications. If real-time voice/data traffic has to compete with file-sharing peer-to-peer (P2P) traffic over the shared air medium, chances are the real-time demanding traffic quality is not going to be satisfying. Throwing additional fibers into the network has been a crude wire-line strategy, but such an approach doesn’t work effectively. Adding capacity is very CAPEX-intensive, and the newly added bandwidth will be consumed by bandwidth hogs in no time. Also the mobile data networks are more susceptible to security threats since higher and higher speed mobile access technologies make more mobile devices becoming the target of security threats. Therefore, to better monetize this rapid data traffic growing trend, mobile operators’ strong demands of 3G traffic analysis and anomaly detection have emerged. The demands are not much different from wire-line carriers’, yet they are not quite the same as wire-lines’.

Be it a wire-line carrier or a wireless carrier, the service providers are looking for a plethora of applications in the areas of traffic visualization, quality of service delivery, creation of new revenues, and security assurance. However, unlike wire-line service providers, mobile service providers face different technology challenges and have different analytic needs. From the service perspective, a mobile operator usually provides multiple service networks, which can in total offers hundreds of services and applications; from the subscriber perspective, in order to provide subscriber data connections, a mobile operator need to build thousands of base stations in diverse locations. Therefore, it is resource consuming to get a macro-to-micro view of network-wide traffics, to timely detect traffic anomalies, to get insights of mobile data services and applications, and to understand subscriber traffic behaviors for the purpose of network building, daily operation optimization, and business development.

Basing on its abundant development experiences in carrier-grade network traffic management as well as its profound service provider industry know-how, GenieNRM has been developing a new generation mobile solution proactively. Currently a number of trial installations are on-going in tier-1 carrier sites. The GenieNRM mobile solution supports mobile service providers’ network operation and maintenance (O&M), and the functions are designed basing on mobile operator network models. The GenieNRM mobile solution is equipped with the intelligent network analysis models, anomaly detection engines, and effective on-line troubleshooting tools. With the powerful functions, mobile operators can benefit from:

• Optimize radio base station investment and network capacity planning by network-wide, 24/7 traffic monitoring on all base stations in diverse locations;
• Reduce operation costs by aggregated (network-wide, cross-analysis) as well as drill-down (breakdown analysis by BSID, MSID, MEID, application, service, target country) view of network traffic monitoring and analysis;
• Minimize efforts for daily operations and assist customer complaints handling by real-time mobile data network troubleshooting and historical forensic tools;
• Minimizing the mean-time-to-repair of network problems with on-going traffic anomaly detection capability;
• Get insights of customer behavior by subscriber activity analysis and in-depth service and application usage analysis to enable attractive service offers and pricing plans.

For more information, please visit: 3G Service Provider solution.