Geolocation-Based Handover Priority List for Network Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current mobile communication network optimization techniques fail to leverage detailed user information for efficient resource allocation, leading to suboptimal network performance and resource utilization.
Innovation Solution
Implementing a system that uses geolocation and handover management to dynamically allocate network resources based on user-specific data, including location, movement patterns, and device capabilities, to optimize network performance and resource distribution across different network layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If high-powered base stations with large coverage areas are used, then network coverage area is improved, but network resource allocation efficiency deteriorates
Solution Approach 1:
The patent segments the network into multiple layers (macro cells, micro cells, femto cells) with different coverage areas and resource allocation strategies. Each layer is optimized independently, allowing large coverage areas to be maintained while improving overall resource allocation efficiency through hierarchical management.
Solution Approach 2:
The patent applies local quality by customizing network parameters, resource allocation, and handover strategies according to specific geographic locations and user densities. Different regions receive tailored configurations based on local traffic patterns, device capabilities, and network conditions, thereby improving resource efficiency while maintaining extensive coverage.
2Adaptability or versatility
If one-size-fits-all network configuration is used, then device compatibility is improved, but network optimization performance deteriorates
Solution Approach 1:
The patent implements dynamic network configuration that adapts in real-time based on user device capabilities, location, and network conditions. Configuration parameters such as handover thresholds, resource allocation, and measurement opportunities are dynamically adjusted to match specific device requirements while optimizing overall network performance.
Solution Approach 2:
The patent changes multiple network parameters simultaneously based on device characteristics and environmental conditions, including transmission power, resource block allocation, handover margins, and measurement configurations. This multi-parameter optimization enables both broad device compatibility and high network performance.
Data Source
AI summary
Techniques for improved allocation of network resources using geolocation and handover management are disclosed. In one particular exemplary embodiment, the techniques may be realized as a system for optimizing a mobile communications network. The system may comprise one or more processors communicatively coupled to a mobile communications network. The one or more processors may be configured identify a neighbors table comprising a handover priority list of target base stations prioritized based on relative signal strength or quality of service of the target base stations apparent to mobile devices in a footprint of a source base station. The one or more processors may also be configured to determine a non-obvious handover plan based on at least one of geolocation data of a mobile device, user information associated with the mobile device, and network resources data. The one or more processors may further be configured to update the handover priority list in the neighbors table based on the non-obvious handover plan to provide improved allocation of network resources and improved signal strength or quality of service to a plurality of mobile devices within the mobile communications network over a sustained period of time.