|
|
 |
Features:
| • |
Forecasting mobility and traffic load at special time and places, for each level of network element, as basis for corresponding network planning. |
| • |
The forecast is reliable, based on existing users’ behavior, blocking statistics, event models, and what-if scenarios. |
| • |
It helps special events (short-term and periodical) as well as longer-term planning. |
Benefits:
| • |
Higher revenue and network performance. |
| • |
Replacing conventional guessing method with scientific techniques. |
|
|
|
 |
|
Features:
| • |
Optimizing 3G/2G, 3G/3G neighbors, configuration, and resource allocation. |
| • |
Assisting to identify root cause of new network issues. |
| • |
Advanced weighted traffic and mobility models bring out more reliable 3G planning based on known patterns. |
| • |
Utilizing other modules of OptiMo to provide complete solution. |
Benefits:
| • |
Alleviating problems caused by inter-RAT traffic due to spotty 3G coverage |
| |
| • |
High failure rate (e.g. 10%+ failure rate) |
| • |
Long processing time (e.g. 8+ sec in immature networks) |
| • |
Happens anywhere (e.g. entering/leaving a building, not just borders) |
| • |
High loading for both 3G/2G (and more network elements are involved) |
|
|
|
|
 |
|
Features:
| • |
Ultimate resource re-engineering for MSC/BSC/BTS. |
| • |
Pointing out less necessary MSC/BSC/sites for dismantling. |
| • |
Optimizing re-host and scheduling for network change. |
| • |
Integrated optimization for 2G/2.5G/3G networks based on mobility and traffic models among the networks spatially and temporally, utilizing other modules of OptiMo. |
Benefits:
| • |
Maintaining or improving quality given limited resource. |
| • |
Reducing operational cost with less rental. |
| • |
Maximizing performance for the integrated network as a whole. |
|
|
|
|
|
|
|
|
