Wireless Communication Device Non-Uniform Beam Tables
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Solution Overview
Problem
Conventional wireless communication devices using beamforming antennas with standard beam tables experience significant signal quality deterioration due to uniformly distributed peak directions of array factors, leading to gain drops in specific directions, particularly affecting fixed terminals.
Innovation Solution
Implementing a wireless communication device with optimized beam tables where the peak directions of array factors are non-uniformly distributed across different directions, allowing for the selection of a beam pattern that minimizes signal quality degradation by using optimized beam tables tailored to specific directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a standard beam table with uniformly distributed peak directions is used, then the beam pattern covers all directions evenly, but significant gain drops occur in specific directions causing signal quality deterioration
Solution Approach 1:
The single standard beam table is segmented into multiple optimized beam tables, each tailored for specific directional ranges. This segmentation allows the system to select the most appropriate beam table based on the target direction, avoiding the gain drops that occur when using a single uniformly distributed beam table for all directions.
Solution Approach 2:
The system dynamically selects among multiple optimized beam tables based on the detected direction of the opposite communication device. This dynamic adaptation ensures that the beam pattern is always optimized for the current operational direction, preventing signal quality deterioration in specific fixed directions.
2Reliability
If the beam pattern is optimized for specific directions using optimized beam tables, then signal quality improves in those directions, but the system complexity increases due to multiple beam tables
Solution Approach 1:
Multiple optimized beam tables are prepared in advance, each optimized for specific directional ranges. This preliminary preparation allows the system to quickly select the appropriate beam table without real-time complex calculations, reducing the operational complexity while maintaining high signal quality.
Solution Approach 2:
The system uses feedback from direction detection to select the appropriate optimized beam table. By continuously monitoring the direction of the opposite communication device and selecting the corresponding beam table, the system manages the complexity of multiple beam tables through a simple feedback-based selection mechanism.
3Ease of manufacture
If uniformly distributed peak directions are used in the beam table, then the array factor is simple to calculate, but gain drops occur in directions between peak directions affecting communication reliability
Solution Approach 1:
Instead of using a single uniform distribution for all directions, the system applies local quality optimization by creating different beam tables with non-uniform peak direction distributions tailored to specific directional ranges. This local optimization ensures that each beam table is specifically designed to avoid gain drops in its target directional range.
Solution Approach 2:
The system changes the distribution parameters of peak directions in the beam tables based on the target directional range. By adjusting the parameters of peak direction distribution for different beam tables, the system achieves better gain distribution in specific directions while maintaining ease of generation through parameterized beam table creation.
Data Source
AI summary
A wireless communication device includes, a beamforming antenna, a storage that stores a plurality of optimized beam tables in which a peak direction of an array factor corresponding to each antenna weight vector are non-uniformly distributed in an angular space, the respective plurality of optimized beam tables is optimized in different directions, and a beamformer that sets a beam pattern of the beamforming antenna based on an antenna weight vector constituting one optimized beam table selected from the plurality of optimized beam tables.


