Mobility-Based Cellular Resource Deployment for Rural Coverage
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Solution Overview
Problem
Existing systems face challenges in providing adequate and consistent cellular network coverage in small towns and rural areas due to limited resources and lack of mechanisms to account for user mobility, leading to inefficient deployment of network resources and environmental impact.
Innovation Solution
A system that splits geographic areas into geographically-distinct sub-areas based on user mobility data to determine which areas benefit most from additional network resources, optimizing resource deployment and reducing environmental impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network resources are deployed to small town and rural areas to improve coverage, then network coverage is improved, but resource availability in urban areas deteriorates
Solution Approach 1:
The system segments geographic areas into urban and rural zones, and further divides rural areas into grid cells based on user mobility patterns. This segmentation enables targeted resource deployment to specific high-mobility rural areas without uniformly distributing resources across all rural regions, thus preserving resources in urban areas while improving coverage where needed.
Solution Approach 2:
The patent implements local quality by analyzing user mobility metrics at the grid cell level rather than uniformly across entire rural areas. Network resources are deployed based on local mobility characteristics of each grid cell, ensuring resources are allocated to specific locations with high user mobility needs rather than spreading resources thin across all rural areas.
2Reliability
If network resources are uniformly deployed across rural areas to ensure coverage, then coverage is improved, but energy consumption increases
Solution Approach 1:
The system divides rural geographic areas into multiple grid cells and evaluates user mobility metrics for each cell independently. This segmentation allows the network to activate and deploy resources only in grid cells with high user mobility, rather than uniformly across all rural areas, thereby reducing overall energy consumption while maintaining coverage in high-need zones.
Solution Approach 2:
The patent applies partial action by deploying network resources to only a subset of rural grid cells—specifically those exceeding a mobility threshold—rather than uniformly across all rural areas. This selective deployment reduces energy consumption by avoiding resource activation in low-mobility areas while ensuring adequate coverage in high-mobility zones.
3Reliability
If network resources are relocated from well-served areas to underserved areas to improve coverage, then coverage in underserved areas is improved, but user experience in well-served areas deteriorates
Solution Approach 1:
The system evaluates user mobility metrics at the local grid cell level to identify specific underserved areas needing resources. By deploying resources based on local mobility characteristics rather than uniformly relocating resources across entire regions, the system improves coverage in specific underserved grid cells while maintaining adequate service levels in well-served areas, thus preserving user experience.
Solution Approach 2:
The patent implements feedback mechanisms by continuously monitoring user mobility metrics and network performance across different geographic areas. This feedback enables dynamic resource allocation where resources are relocated only when and where mobility patterns indicate genuine need, preventing premature or excessive resource relocation that would degrade user experience in well-served areas.
4Reliability
If additional network resources are deployed to underserved geographies to improve connectivity, then network connectivity is improved, but environmental impact increases
Solution Approach 1:
The system segments rural areas into grid cells and identifies only those cells with high user mobility metrics as targets for resource deployment. This segmentation prevents unnecessary resource deployment and associated environmental impact in low-mobility areas, while ensuring connectivity improvements in high-need zones.
Solution Approach 2:
The patent applies partial action by deploying network resources to only a fraction of rural grid cells—specifically those exceeding mobility thresholds—rather than uniformly across all rural areas. This selective approach reduces environmental impact by minimizing the number of infrastructure deployments, construction activities, and resource manufacturing required, while still achieving connectivity goals in high-priority areas.
Data Source
AI summary
Systems and methods for providing telecommunications network-related resources to geographies based on user mobility are disclosed. The system identifies a proposed-split area that fails to satisfy a network-ready condition. The system temporarily splits the proposed-split area into a set of geographically-distinct sub-areas using a geographical constraining condition. The system obtains user mobility data indicating movement of user locations from respective geographically-distinct sub-areas to geographic locations that (i) satisfy the network-ready condition and (ii) is within a threshold distance of the respective geographically-distinct sub-area. The system determines a user-mobility metric for each geographically-distinct sub-area. The system identifies a subset of geographically-distinct sub-areas of at least one of the geographically-distinct sub-areas that satisfy the network-ready condition. The system permanently splits the proposed-split area and deploys network resources to the subset of geographically-distinct sub-areas in response to the user-mobility metrics of the subset of geographically-distinct sub-areas satisfying a user mobility threshold value.