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Overview:
CapMo™ is a scientific time-based capacity and capital planning system for mobile network capacity expansion, upgrades, and utilization analysis and forecasting. CapMo™ is based on the actual KCI performance and the projected network traffic growth. It analyzes the current capacity utilization of major network elements, enables planners to justify the utilization of existing network resources and plan for future capacity requirements. CapMo™ can project the capacity utilization, which helps operators to foresee when their network elements will reach their KCI thresholds and the impact to the overall network capacity after implementation of capacity expansion and upgrades.
Features:
• Operators’marketing projections, engineering constraints, and internal procedures integrated into the system.
• GSM/GPRS/UMTS/CDMA2000/EVDO/LTE/WiMAX capacity planning.
• Capacity planning for CN and RAN elements.
• Traffic model considers traffic in different RAT networks and inter-RAT impact.
• KCI forecasts of individual network element from Gateway Switch level (macro-level) to sector level (micro-level) in different time granularities (daily/weekly/monthly).
• Forecasts displayed in many formats including map based visualization, tabular report and diagram.
• Alarms indicate when and what KCIs will reach the capacity thresholds and provide color coded warnings.
• "What if analysis" allows engineers to project the effect of different combinations of capacity planning and optimization scenarios.
• CAPEX and OPEX calculations and projections for all expenditures through all stages of capacity expansion forecast via the integration of financial cost table.

Benefits:
• Reduce risk by knowing when and where additional capacity will be required and creating efficient and timely expansion plans.
• Reduce the risk of network overload by knowing when the capacity thresholds will be reached and take strategically planning actions ahead.
• Efficiently use capital expenditures by knowing exactly when and where to invest in additional infrastructure and project the required budget.
• Reduce operational effort and time for capacity and capital planning with a fully automated planning system based on your internal assumptions and constraints.
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