SEOUL, Korea – February 26, 2015 - Samsung Electronics announces the launch of its CognitiV Analytics solution to provide operators with a powerful, data-driven approach to network quality improvement. The solution combines real-time data collection with efficient congestion relief algorithms to provide in-depth insight into, and resolution of, network traffic challenges, and represents the first new component of its CognitiV OSS portfolio.
"Existing industry analytics solutions typically focus on analyzing data generated by either the network or the user data service alone," said Jungah Choi, Senior Vice President of Advanced Technology at Networks Business, Samsung Electronics. "These two separate approaches can abstract network issues and do not provide true insight into the end user's service Quality of Experience. By analyzing the data on a per-user and per-service basis in real-time, CognitiV Analytics pinpoints the root cause of service quality issues as, or even before, they occur, and jointly optimize the RAN and core policy to enhance the user experience."
The distinction between each service on a per-user basis is important for ensuring that the problem is well understood, and that response algorithms can properly react and improve overall network quality. To facilitate this, CognitiV Analytics is capable of gathering useful sets of traffic data from network elements, such as the base station or from various network probes. It then processes this information in real time and presents an informative and visual display of any potential issues to the operator's network operations staff.