E911 Location in Dense Cell Meshes Using Overlap Areas
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Solution Overview
Problem
In dense cellular network meshes, existing techniques for Enhanced 911 (E911) device location are less effective due to the assumption of stationary cell sites, which is not valid in high-density networks with mobile cells.
Innovation Solution
A system and method that utilize a network positioning device to obtain coverage area information from both fixed and mobile network cells, determine the area of overlap between their coverage areas, and define an estimated position of the user equipment within this overlap area, thereby facilitating accurate location determination without requiring radio measurements from mobile cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing E911 location techniques are used in dense cellular networks, then the location determination can be performed using traditional methods, but the accuracy deteriorates because the assumption of stationary cell sites is not valid in high-density networks with mobile cells
Solution Approach 1:
The patent applies the Dynamics principle by transitioning from static cell site assumptions to dynamic mobile cell modeling. The system determines whether cells are mobile or fixed and adapts the location determination method accordingly - using signal strength measurements for mobile cells and geometric methods for fixed cells. This dynamic adaptation resolves the contradiction between maintaining traditional E911 techniques and achieving accuracy in networks with mobile cells.
Solution Approach 2:
The patent applies Parameter changes by modifying the location determination parameters based on cell type. For mobile cells, the system uses signal strength measurements (RSRP, RSRQ) as location parameters, while for fixed cells, it uses geometric relationships and coverage area information. This parameter change enables accurate location determination across both mobile and fixed cell environments.
2Measurement precision
If radio measurements from mobile cells are required for accurate positioning, then location accuracy improves, but computational resources and complexity increase
Solution Approach 1:
The patent applies Segmentation by dividing the location determination process into distinct segments based on cell type. The system separately handles mobile cells (using signal strength measurements) and fixed cells (using geometric methods), rather than applying a single complex algorithm to all cells. This segmentation reduces overall computational complexity while maintaining accuracy.
Solution Approach 2:
The patent introduces an intermediary classification step that identifies whether cells are mobile or fixed before applying the appropriate location determination method. This intermediary classification acts as a mediator that simplifies the overall computational process by routing different cell types to appropriate handling procedures, reducing the need for complex universal algorithms.
Data Source
AI summary
Techniques for Enhanced 911 (E911) location for dense cell network meshes are provided. A method can include obtaining, by a system comprising a processor via a communication network comprising first network cells listed in a neighboring cell list of a user equipment, coverage area information for the first network cells, wherein the coverage area information comprises respective reported positions of the first network cells and respective coverage radii of the first network cells; determining, by the system based on the coverage area information for the first network cells, a first area in which respective coverage areas of the first network cells overlap; and defining, by the system, an estimated position of the user equipment as a selected position within the first area.