Automated Traffic Reassignment Estimation for Wireless Networks
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Solution Overview
Problem
Manual traffic reassignment in wireless networks is labor-intensive and error-prone, relying heavily on subjective planning experience, which affects the efficiency of network expansion or decommissioning based on traffic volume forecasts.
Innovation Solution
An automated method that calculates offload percentages and selects relief sectors by determining the Traffic Circle Intersection Fraction (TCIF) and using equations to derive offload fractions, thereby objectively determining traffic reassignment between offload and relief sectors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual traffic reassignment is performed by a user, then the selection can be made based on planning experience and instinct, but the process becomes highly labor intensive and error prone
Solution Approach 1:
The system performs automatic estimation of traffic reassignment by computing offload percentages based on geometric relationships between traffic circles and sector characteristics, eliminating the need for manual user selection and reducing both labor intensity and human error
Solution Approach 2:
The patent replaces the manual mechanical process of traffic reassignment selection with an automated computational system that uses geometric calculations and algorithms to determine offload percentages and select relief sectors
2Adaptability or versatility
If manual traffic reassignment is performed, then the user can apply planning experience, but the selection becomes highly subjective and dependent on user expertise
Solution Approach 1:
The system transforms the subjective planning process into an objective computational process by changing the parameters from expert judgment to geometric measurements, using distance calculations and area intersections to determine offload percentages
3Productivity
If network expansion or decommissioning is performed based on forecast, then the network can be optimized for traffic volume changes, but traffic reassignment becomes complex requiring careful planning
Solution Approach 1:
The patent segments the traffic reassignment process into distinct computational steps: identifying offload and relief sectors, calculating traffic circle intersections, computing offload percentages, and selecting relief sectors, making the complex process systematic and manageable
Data Source
AI summary
A method and apparatus for providing an estimation of traffic reassignment for a network are disclosed. For example, the method and apparatus provide an automatic estimation of traffic reassignment for a wireless network.


