|
|
 |
| Overview:
|
| What if you have the technology that can accurately identify the locations of both indoor and outdoor coverage/quality issues in your network, for example your top 500 revenue-losing indoor coverage holes? This valuable information could be used for QoS improvement, churn reduction, and various other applications. With breakthrough research in Chaos Theory, CovMo™ solution discovers poor coverage and/or bad quality areas to help you diagnose and solve network issues quickly and accurately in your network. |
Features:
| • |
Revolutionary technology utilizing Chaos Theory and multi-dimensional analysis to achieve unprecedented geolocation resolution and accuracy. |
| • |
Simultaneously identification of network issues for entire network and for all times (not just during drive tests), which is important for discovering issues due to cell breathing. |
| • |
Linking network issues with Subscriber-Based Intelligence to understand the perspectives from the subscribers, not just from the network. |
| • |
Enabling platform with extension modules for revealing user-perceived data throughput, spatial and temporal KPI analysis, additional capacity investment analysis, proactive churn analysis,persuasive call center, and Femtocell strategy. |
| • |
Utilizing data that are already on the network, such as measurement events from RNC or probe in order to perform multi-dimensional analysis. |
Benefits:
| • |
Supporting all network vendors to trouble shooting the network and subscriber's issue from Geolocation, radio environment, and network signaling from multiple dimensional perspectives. |
| • |
Reducing time and cost in finding network problems. CovMo™ significantly reduces the numbers of drive tests and walk tests that an operator has to undertake. |
| • |
Supporting detailed call trace and enabling users to analyze the problematic calls of the impacted subscribers in each specific location. |
| • |
Improving Quality of Service by speeding up troubleshooting and deployment of new solution. |
| • |
Enabling various subscriber-based analysis such as VIP group analysis, femtocell strategy, etc. Moreover,operators can minimize network-based churn by identifying the poor coverage spots that are visited frequently by high revenue generating subscribers.
|
|
|
|
|
|
|
|