Telecommunication Aggregator Placement Using Network-Wide Cost Optimization
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Solution Overview
Problem
Conventional network planning systems deploy aggregator units in telecommunication networks based on local site information, neglecting network-wide factors such as non-homogeneous resource demands and site-to-site transportation costs, leading to suboptimal cost configurations.
Innovation Solution
A two-step optimization process using an optimization module to determine a cost-optimal traffic aggregation configuration by collecting network-wide information, estimating the number of aggregator units needed, and formulating decision variables and constraints to minimize equipment and transportation costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If conventional network planning systems deploy aggregator units based on local site information, then deployment simplicity is maintained, but cost optimality deteriorates due to neglecting network-wide factors
Solution Approach 1:
The patent transitions from local site-level decision-making to network-wide optimization by introducing a multi-dimensional view that considers geographic distribution, transportation costs, and resource demands across all sites simultaneously. The system evaluates aggregator placement in the context of the entire network topology rather than isolated sites.
Solution Approach 2:
The optimization system dynamically adjusts deployment parameters including the number of aggregator units, their geographic locations, and capacity allocations based on network-wide constraints and objectives. This enables cost-optimal configuration by varying these parameters across different network scenarios.
2Adaptability or versatility
If aggregator units are deployed to meet non-homogeneous resource demands across network sites, then service coverage is improved, but transportation costs increase due to site-to-site traffic routing
Solution Approach 1:
The patent combines multiple access nodes from different network sites into shared aggregator units located at optimized sites. This consolidation reduces the number of distributed aggregators and minimizes transportation costs by routing traffic to the most efficient aggregation points while still serving all network sites.
Solution Approach 2:
The system creates virtual representations of network traffic flows and aggregator placements to evaluate different configuration scenarios. By modeling and simulating various deployment options, the system identifies configurations that balance service coverage requirements with transportation cost minimization.
3Productivity
If the number of aggregator units is increased to reduce transportation distances, then access efficiency is improved, but equipment costs increase
Solution Approach 1:
The optimization system determines the precise number of aggregator units needed by analyzing network traffic patterns and geographic distribution. Rather than deploying aggregators at every site or using a fixed formula, the system calculates the optimal quantity that achieves sufficient access efficiency while avoiding unnecessary equipment costs.
Data Source
AI summary
Disclosed herein are system, method, and computer program product embodiments for optimal placement of aggregator equipment in telecommunication networks. An embodiment operates by receiving, as an input, information corresponding to resource capacity of the one or more types of aggregator units and resource demands generated by a plurality of access nodes. The embodiment then calculates, based on the input, an optimized traffic aggregation configuration comprising an optimized group of one or more types of traffic aggregator units. Next, the embodiment modifies, based on the optimized traffic aggregation configuration, a network connectivity configuration corresponding to a plurality of network sites. Finally, the embodiment routes network traffic, via the optimized group of one or more types of traffic aggregator units, based on the modified network connectivity configuration.