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Big Data-Based Wireless Network Performance Analysis System

Providing big data analytics capabilities to establish intelligent RAN

Customer Profile
The client is a Korea’s tier-1 mobile service provider that boasts approximately 30 million subscribers across the country. It actively responds to evolution of mobile communication network technologies such as 2G CDMA, CDMA 2000 1X, EV-DO, WCDMA, HSDPA networks, while offering nationwide mobile services. Since commercialization of 4G LTE network in 2011, the company has been playing a leading role in settling mobile broadband services through an early supply of nationwide network.
Business Challenge
The client has already introduced a system that enables monitoring end-to-end service quality from customer perspective and analyzing network-wide performance as it established an all IP-based 4G LTE network. However, it felt the growing need to establish a system that can be harnessed for operation and optimization of radio access network by analyzing the performance more in detail. This was because of the characteristics of 4G LTE network that has a full mesh structure between RAN and core network. The major requests from the client are as follows.
  • Identifying abnormal traffic and performance degradation at radio access network in real time
  • Analyzing root cause on abnormal conditions
  • Establishing knowledge DB for optimizing RAN performance
Mobigen Solution
The client adopted IRIS, Mobigen’s massive DB solution, as a big data platform for wireless network that will not only collect data but also process, store and analyze those data. This was to provide operational support specialized for 4G LTE service. Based on IRIS, the company achieved the stabilization of LTE wireless network and established anomaly mining analysis system.
  • Collecting data related to call flow of wireless network in real time
  • Setting up big data DB platform to establish knowledge DB
  • Providing network intelligence that analyzes performance of wireless network and conducts mining for performance anomaly
  • Giving advanced analytics on correlation and prediction
  • Offering visualization such as Chart, Geo-Map, etc.
Business Value
Mobigen’s IRIS enabled the client to provide best network quality and gain competitive advantage by efficiently monitoring and analyzing performance of 4G LTE wireless network.
  • Establishing an environment for big data analytics on performance of RAN
  • Providing a basis for adopting a prediction system through long-term establishment of knowledge DB including wireless network performance