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| Overview:
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| OptiMo™ is an automated core network planning and optimization system. It analyzes network problems, provides what-if analysis of network changes, and determines the optimal configuration for network infrastructure based on mathematical modeling of subscribers’ mobility and usage behavior. OptiMo™ also recommends how to perform network expansion to maximize the achievable performance improvement from the expansion.
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Features:
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Optimization and load balancing for network elements - including SGW/MME, MSC/SGSN/MGW/RNC/BSC, etc. - considering any number of actual network constraints. |
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Optimization for MSC/SGSN/RNC/BSC as well as LA/RA/TA border and TA list to reduce unnecessary signaling |
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What-if simulation and analysis for network planning. |
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Multi-layer and multi-dimensional analysis capability with map based visualization of pre and post optimization KPIs and network topologies. |
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Optimization plans can be compared against multiple KPIs and QoS parameters such as location updates, inter/intra-RAT handovers, paging, CPU load balancing, congestion, etc. |
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Accurate Mobility Modeling and Traffic Modeling of subscribers’ mobility and usage behavior, in order to project their impact on network performance. |
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State-of-the-art optimization based on spatial-temporal mathematical modeling, chaos theory, and artificial intelligence. |
Benefits:
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Eliminate the risk and time of trial and error implementation plans through alternate scenario analysis and accurately predicting the effect of network changes prior to implementation, overall enhancing network operations and maintenance with a reduced cost. |
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Generate additional revenue by reducing inter-SGSN/RNC/MSC/BSC handover failure, paging congestion, LU/RAU/TAU, blocking calls, etc. |
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Increased capital and operational efficiency are achieved by analyzing network performance, identifying where KPIs can be improved and reallocating network resources optimally. |
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Improved network efficiency, usage and QoS by reducing signaling overhead and balancing CPU loading. |
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Minimize risk of over-capacity or network outages by early identification of network bottlenecks and providing sufficient lead time for network configuration changes or network expansion. |
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Minimize the risk of excessive loading due to inter-RAT problems. |
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