Distributed Base Station Group Merging for 5G Coverage Optimization
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Solution Overview
Problem
Small-scale 5G private networks face challenges in optimizing signal coverage due to the high cost and complexity of centralized AI solutions, which are designed for large-scale networks, and existing distributed algorithms require UE and BS location information, overburdening base stations with complex calculations.
Innovation Solution
A distributed signal coverage optimization method that allows base stations to adjust transmission power based on UE measurement reports without knowing UE or BS locations, using member tracking messages and responses to manage base station groups and merge them as needed, enabling efficient coverage optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a centralized server with complex AI algorithms is used to optimize signal coverage, then the coverage optimization accuracy is improved, but the system cost and complexity increase significantly
Solution Approach 1:
The patent divides the centralized coverage optimization system into distributed base station groups, where each base station independently performs coverage optimization calculations based on local measurement reports, eliminating the need for a complex centralized server while maintaining optimization effectiveness
Solution Approach 2:
Base stations autonomously perform coverage optimization by processing UE measurement reports locally and adjusting their own transmission power without requiring external centralized control, reducing system complexity while achieving self-optimized coverage
2Area of stationary object
If each base station has larger transmission power to expand coverage, then the coverage area is improved, but interference between base stations increases
Solution Approach 1:
The system uses UE measurement reports as feedback to dynamically adjust base station transmission power, allowing base stations to expand coverage while maintaining interference levels within acceptable ranges through continuous monitoring and adjustment
Solution Approach 2:
Transmission power is dynamically adjusted based on real-time measurement reports and base station group membership changes, enabling the system to adaptively balance coverage expansion and interference control rather than using fixed power levels
3Measurement precision
If distributed algorithms require UE location and BS location information, then the coverage optimization precision is improved, but the base station workload and complexity increase
Solution Approach 1:
The patent extracts location information requirements from the base station processing workload by using only UE measurement reports that inherently contain signal strength data, eliminating the need for base stations to handle complex location management while maintaining optimization precision
Solution Approach 2:
UE measurement reports serve as an intermediary that carries necessary optimization information without requiring base stations to directly process location data, simplifying base station functionality while preserving coverage optimization accuracy
Data Source
AI summary
The disclosure provides a base station and a method for optimizing the coverage of a self-defined network. The method includes: receiving a measurement report from user equipment; in response to determining that the measurement report indicates that a neighboring first base station is present, sending a member tracking message to the first base station; determining whether the first base station belongs to any other base station group based on a member tracking response from the first base station; in response to determining that the first base station does not belong to any other base station group, adding the first base station to a base station group managed by the base station; and in response to determining that the member tracking response indicates that the first base station belongs to another base station group, merging the base station group and the another base station group.