Adaptive Beam Filtering for Stable Mobile Beam Transitions
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Solution Overview
Problem
Current beam management systems in mobile communication networks struggle with temporally dynamic beams, leading to unstable connections, increased power consumption, and inefficient resource usage due to the unpredictable nature of these beams, especially in urban environments and events with mobile network nodes.
Innovation Solution
A method and system for determining candidate beams using beam tracking data and generating a beam grid history to identify suitable beams for transition, filtering out unsuitable temporally dynamic reflections and selecting stable, static or semi-static reflections based on historical data and predicted paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the system switches to temporally dynamic beam reflections to supplement direct beam coverage, then beam coverage is improved, but connection stability deteriorates because the reflection may not be sufficiently stable for the entire duration needed
Solution Approach 1:
The system performs preliminary actions by measuring and evaluating multiple candidate beams in advance before switching occurs. The network node measures reference signals from multiple beams and evaluates their suitability based on historical data and current conditions, ensuring that only stable and appropriate beams are selected for transition, thereby preventing connection failures due to unstable reflections.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring beam performance and using historical data from previous beam transitions. The network node evaluates candidate beams based on feedback from historical beam usage patterns and current measurement reports, adjusting beam selection decisions to maintain connection stability while utilizing reflected beams for coverage enhancement.
2Reliability
If the system uses wide beam tracking to find suitable beams after a reflection disappears, then connectivity is maintained, but power consumption increases due to large amounts of resources being spent
Solution Approach 1:
The system performs preliminary beam evaluation and selection before connectivity issues arise. By continuously measuring and evaluating multiple candidate beams in advance and using historical data to predict suitable transitions, the system prepares appropriate beam switches ahead of time, avoiding the need for extensive wide beam tracking searches when problems occur, thus reducing power consumption while maintaining connectivity.
3Speed
If the system switches to temporally dynamic beams without filtering, then beam transition speed is improved, but the risk of switching to unsuitable beams increases leading to radio link failures
Solution Approach 1:
The system performs preliminary evaluation of candidate beams using historical data and current measurements before executing transitions. The network node filters and selects only suitable beams based on pre-established criteria, ensuring that fast transitions are made to appropriate beams rather than unsuitable ones, thereby maintaining both speed and reliability.
Solution Approach 2:
The system uses feedback from historical beam transition data and current measurement reports to guide beam selection decisions. By evaluating candidate beams against historical performance patterns and current conditions, the system ensures that fast beam transitions are made to reliable beams, preventing radio link failures while maintaining transition speed.
Data Source
AI summary
A computer-implemented method (400), performed by a network node (120), for determining a candidate beam for a beam transition by a wireless communications device (100) in a beam grid, comprises: monitoring (302) beam tracking data from a plurality of wireless communications devices (110) at a plurality of locations in the beam grid over a period of time; generating (316) a beam grid history comprising monitored beam tracking data; and determining (418), based on at least the beam grid history and current beam measurement data received from a wireless communications device (110) at a location in the beam grid, at least one candidate beam for a beam transition by the wireless communications device (110).