Vertical Beamwidth Adjustment for MU-MIMO Pairing
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Solution Overview
Problem
Current beamforming technologies in MU-MIMO systems often have limited vertical beamwidth, resulting in suboptimal pairing efficiency for user devices, especially in environments like high-rise buildings where multiple user devices are vertically distributed, leading to lower than desired MU-MIMO pairings and efficiency.
Innovation Solution
The system dynamically modifies beamforming weights to widen the vertical beamwidth when the MU-MIMO pairing efficiency falls below a threshold, increasing the coverage area and number of pairings by adjusting the phase and amplitude of the beam.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beamforming weights are modified to increase vertical width, then MU-MIMO pairing efficiency is improved, but beam precision and focus are degraded
Solution Approach 1:
The patent implements dynamic adjustment of beamforming weights based on real-time monitoring of MU-MIMO pairing efficiency. The system transitions from static beam configuration to dynamic adaptation, modifying vertical beamwidth according to current network conditions and user distribution patterns, thereby resolving the contradiction between maintaining beam precision and improving pairing efficiency
Solution Approach 2:
The system changes the vertical beamwidth parameter of the beamforming weights in response to monitored pairing efficiency metrics. By adjusting this specific parameter dynamically, the system optimizes the balance between beam focus and coverage area, allowing improved MU-MIMO pairing efficiency without permanently sacrificing beam precision
2Productivity
If vertical beamwidth is increased to cover more user devices, then pairing efficiency is improved, but signal strength and quality are reduced
Solution Approach 1:
The system dynamically adjusts vertical beamwidth based on the distribution and density of user devices within the coverage area. When users are sparsely distributed vertically, the beamwidth is increased to improve pairing efficiency. When users are densely concentrated, the beamwidth is reduced to maintain signal strength and quality, thus resolving the contradiction between coverage area and signal strength
Solution Approach 2:
The beamforming weights are adjusted to provide different vertical beamwidth characteristics in different spatial regions and conditions. The system applies local optimization by monitoring pairing efficiency in specific beams and adjusting weights locally, ensuring that signal strength is maintained in regions where it matters most while expanding coverage where needed
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 enhances MU-MIMO pairing efficiency by increasing the number of user devices covered within the beam, thereby improving data transfer efficiency and resource utilization in MU-MIMO connections.
Implementation Method 1
beamforming weights of the beam may be modified to increase the vertical width
Implementation Method 2
adjusting the phase and amplitude of the beam
Data Source
AI summary
Systems and methods are provided for dynamically modifying beamforming weights based on MU-MIMO user device pairings. A quantity of MU-MIMO user device pairings served by a node is determined. Based on a maximum quantity of potential MU-MIMO user device pairings for the node, it is determined that a quantity of the MU-MIMO user device pairings for the node is below a threshold. Because the quantity of the MU-MIMO user device pairings is below the threshold, beamforming weights are modified to widen a vertical main lobe to increase the quantity of MU-MIMO user device pairings.