Dynamic Vertical Beamforming Weight Adjustment
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Solution Overview
Problem
Existing antenna systems lack the ability to dynamically adjust vertical beamforming weights, resulting in inadequate coverage for user devices located near or at the top of tall structures, as they cannot modify the vertical beam width to accommodate varying channel quality and user distribution.
Innovation Solution
The system dynamically adjusts vertical beamforming weights by modifying amplitude and phase components based on channel quality indicators (CQIs) and user distribution, allowing for real-time changes to the beam width to improve coverage for user devices vertically separated from others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If vertical beamforming weights are fixed, then device complexity is reduced, but coverage quality for vertically distributed user devices deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of vertical beamforming weights based on real-time channel quality indicators (CQI) and user distribution patterns. The system transitions from static fixed weights to dynamically adaptable weights that automatically adjust to changing environmental conditions, thereby maintaining high coverage quality without requiring complex manual reconfiguration
Solution Approach 2:
The system employs feedback mechanisms where CQI measurements from user devices are continuously monitored and used to adjust vertical beamforming weights. This closed-loop control enables the system to automatically optimize coverage quality based on actual channel conditions, resolving the contradiction between simplicity and performance
2Area of stationary object
If vertical beam width is increased to cover more users, then coverage area expands, but beamforming precision for individual users deteriorates
Solution Approach 1:
The patent applies different vertical beamforming weights to different spatial regions and user groups. By analyzing user distribution patterns and CQI metrics, the system tailors beam width and direction locally for specific user devices rather than applying a uniform beam configuration, thereby maintaining precision while expanding coverage
Solution Approach 2:
The system dynamically changes beamforming parameters (weights, amplitudes, phases) based on user distribution and channel conditions. This enables adaptive adjustment of vertical beam width to optimize the trade-off between coverage area and beamforming precision for different operational scenarios
3Adaptability or versatility
If beamforming weights are adjusted frequently to track user movements, then coverage adaptability improves, but system complexity increases
Solution Approach 1:
The system implements self-service beamforming optimization where the network automatically monitors CQI metrics and user distribution patterns, then autonomously adjusts vertical beamforming weights without requiring complex external control mechanisms. This reduces system complexity while maintaining high adaptability to changing conditions
Data Source
AI summary
Methods and systems are provided for dynamically adjusting vertical beamforming weights to influence a width of a vertical beam emitted from an antenna. A quantity of users present in a particular geographic area is determined, where the user devices have a line of sight with the antenna and are vertically distributed from other user devices. CQIs are received from the user devices. It is determined that the quantity of user devices is above a maximum threshold of user devices, and the CQIs indicated that channel quality is below a minimum threshold. The amplitude and phase components of the vertical beamforming weight are adjusted to modify the width of the vertical beam emitted from the antenna.