Electronic Tilt Coverage Optimization for Base Station Interference
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Solution Overview
Problem
Open Radio Access Networks face sub-optimal network coverage due to radio interference, leading to the need for expensive additional base stations to mitigate interference and improve coverage.
Innovation Solution
A system determines electronic tilt based on signal information processed in a cloud environment to optimize base station radio orientation, using booming start distance to dynamically manage network interference without deploying additional base stations, by identifying and adjusting the tilt to target areas with high user presence and optimizing network usage patterns in real-time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If additional base stations are deployed to improve network coverage, then coverage quality improves, but deployment cost increases
Solution Approach 1:
The patent changes the electrical tilt parameter of existing base station antennas to optimize coverage. By adjusting the electronic tilt dynamically, the system redistributes signal coverage patterns to fill gaps without adding physical infrastructure, thereby improving reliability while avoiding increased quantity of base stations
Solution Approach 2:
The system implements dynamic electronic tilt adjustment that adapts in real-time to changing network conditions, user distribution, and interference patterns. This dynamic optimization allows existing base stations to efficiently serve varying coverage requirements throughout the day, replacing the need for static additional deployments
2Productivity
If electronic tilt is adjusted to optimize coverage, then network performance improves, but system complexity increases
Solution Approach 1:
The system implements self-service through automated algorithms that independently analyze coverage gaps, calculate optimal tilt angles, and adjust electronic tilt parameters without manual intervention. The closed-loop system continuously monitors performance and autonomously optimizes settings, improving productivity while keeping operational complexity manageable through automation rather than manual processes
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors network performance metrics, user equipment measurements, and coverage quality. This feedback drives iterative optimization of electronic tilt settings, allowing the system to learn from actual performance data and automatically adjust parameters to maintain optimal network productivity
3Ease of operation
If real-time optimization is implemented, then user experience improves, but processing requirements increase
Solution Approach 1:
The system implements periodic optimization cycles rather than continuous real-time adjustments. Electronic tilt parameters are updated at strategically determined intervals based on changing conditions, providing improved user experience through timely optimizations while avoiding the excessive processing energy consumption of truly continuous real-time adjustments
Data Source
AI summary
A booming cell start distance and recommended electronic tilt is identified by retrieving a list of cells served by a first base station. A plurality of grids is generated from the first base station to a predetermined threshold distance. A plurality of selected grids is identified between an acceptable coverage limit and a threshold distance. An evaluation is made regarding whether the first base station is not the dominant cell in each of the selected grids based. The number of grids where the first base station is not the dominant cell site is determined based on a dominant carrier threshold. A column of grids where the first base station is no longer the dominant cell site is determined based on the dominant carrier threshold. A bad booming distance of the cell is determined based on the distance from the first base station and the determined column of grids.