Dynamic Cell Load Management via Angle of Arrival
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Solution Overview
Problem
Traditional macro cell deployments lack intelligent load management, leading to network issues when UE load increases or decreases, causing disproportionate overload in specific areas and affecting users in other areas of cell coverage.
Innovation Solution
A dynamic cell load management system using Angle of Arrival (AoA) to identify UE load in different quadrants of cell coverage, activating or deactivating cells, carriers, or radio access technologies (RATs) in near-real time to optimize resource utilization and handle UE load dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional macro cell deployments are used without intelligent load management, then network coverage is maintained, but network overload occurs in specific areas when UE load increases
Solution Approach 1:
The patent implements dynamic cell load management where cells, carriers, or RATs are activated or deactivated in real-time based on UE load conditions in different quadrants. This dynamic adjustment allows the network to adapt to changing traffic patterns, preventing overload in high-density areas while maintaining coverage, thus resolving the contradiction between network reliability and adaptability to load variations
Solution Approach 2:
The system continuously monitors UE load in different quadrants and uses this feedback to intelligently activate or deactivate network resources. This closed-loop feedback mechanism enables the network to respond to load changes, maintaining performance reliability while adapting to varying traffic conditions across different geographic areas
2Productivity
If additional cells are activated to handle increased UE load, then network capacity is improved, but resource utilization efficiency decreases
Solution Approach 1:
Instead of statically activating additional cells, the system dynamically activates cells, carriers, or RATs only when and where needed based on real-time UE load monitoring. This dynamic resource allocation increases network capacity in high-load quadrants while keeping resources dormant in low-load areas, thereby improving productivity without proportional energy loss
Solution Approach 2:
The patent applies load management locally to specific quadrants rather than uniformly across the entire cell coverage. Resources are activated or deactivated based on local UE load conditions in each quadrant, allowing capacity to be increased where needed while maintaining resource utilization efficiency by avoiding unnecessary activation in low-load areas
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for intelligent handling of UE load by activating additional cells when needed and powering them down when load decreases, ensuring optimal resource utilization and improving network performance by preventing overload in specific areas.
Implementation Method 1
Angle of Arrival (AoA) is a technique for positioning for radio signals. Using AoA, typically a measurement of a difference in direction of a single radio wave is performed as the signal is received by multiple independent antennas.
Implementation Method 2
As the signal is received, a signal phase is captured (when using IQ samples), and these are used to calculate an angle of arrival.
Implementation Method 3
Round trip time (RTT) is a related positioning technique involving capturing differential receive times across multiple antennas that is also available in 5G
Data Source
AI summary
A system is shown for identifying cell user load in different quadrants (A quadrant is a logical division of the cell coverage into sectors) of the cell coverage and based on cell user load, light up additional cells in that quadrant which can handle the UE load and bring the cells when the load decreases after a particular defined threshold.