Base Station Distance Filtering for Resource Overload
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing resource demands and preventing overload, particularly in scenarios with high concentrations of user devices or jamming attacks, where existing solutions fail to dynamically allocate resources effectively.
Innovation Solution
The implementation of a distance filtering mechanism in base stations, which divides the coverage area into filtering sub-areas with defined minimum and maximum ranges, allowing for dynamic resource allocation based on distance from the antenna, thereby isolating high-demand areas and optimizing resource management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the base station serves all user devices within coverage area, then coverage completeness is improved, but resource overload occurs in high-demand scenarios
Solution Approach 1:
The base station segments the coverage area into multiple filtering sub-areas based on distance thresholds. Each sub-area is assigned different resource allocation priorities, allowing the system to differentiate between high-demand near users and far users, thereby preventing resource overload while maintaining coverage.
Solution Approach 2:
The patent applies local quality by assigning different service qualities to different spatial regions. Users in closer sub-areas receive higher priority resource allocation compared to users in farther sub-areas, optimizing resource distribution according to local demand characteristics.
2Productivity
If resource allocation is increased for all users, then data throughput is improved, but system overload occurs during high-demand events
Solution Approach 1:
The base station dynamically adjusts resource allocation based on real-time conditions. During high-demand events, the system activates distance filtering to dynamically redistribute resources, allocating more to critical near-users and less to far-users, maintaining system stability while preserving throughput for priority users.
Solution Approach 2:
The patent changes the resource allocation parameter based on user distance. By introducing distance as a variable parameter, the system can adjust allocation ratios dynamically, increasing throughput for priority users while preventing overall system overload during high-demand scenarios.
3Productivity
If distance filtering is implemented, then resource management efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements distance filtering by changing a single key parameter - the distance threshold - rather than introducing complex multi-dimensional classification. This simple parameter-based approach improves resource management efficiency while minimizing increases in base station complexity.
Data Source
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AI summary
A base station may be configured to support distance filtering. When the distance filtering is on, a base station may, when it receives a service request from a device, determine from timing information in the service request at least a distance to the device, then determine a filtering sub-area for the device based on the distance; and to apply one or more filtering rules defined for the filtering sub-area to determine how to process the service request.