Adaptive Beam Scanning Frequency for Millimeter Wave Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication systems face challenges in millimeter wave frequencies due to channel instability and high processing demands from frequent beam scanning, leading to battery consumption and hardware temperature issues.
Innovation Solution
The system selectively adjusts the frequency of beam scanning based on the rate of change of beam clusters and user equipment orientation, allowing for increased or decreased scanning frequency to match the ideal rate, and skipping scheduled scans to optimize processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If beam scanning frequency is increased to track channel changes in millimeter wave systems, then channel tracking accuracy is improved, but battery consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of beam scanning frequency based on detected channel conditions and mobility states. The system transitions between different scanning frequencies (e.g., first frequency for high mobility, second frequency for low mobility) to match actual channel variation rates, avoiding unnecessary high-frequency scans when channels are stable thereby reducing battery consumption while maintaining tracking accuracy when needed
Solution Approach 2:
The system changes the parameter of beam scanning frequency based on detected conditions such as mobility state, channel quality, and beam cluster stability. By adjusting this parameter dynamically rather than using a fixed frequency, the system optimizes the balance between tracking precision and energy consumption according to actual operational requirements
2Reliability
If beam scanning frequency is increased to maintain connection quality, then connection stability is improved, but hardware temperature increases
Solution Approach 1:
The patent dynamically adjusts beam scanning frequency based on connection stability requirements and mobility conditions. By implementing adaptive scanning rates that match actual channel variation, the system maintains connection reliability when channel conditions demand it while reducing scanning intensity during stable periods, thereby preventing excessive hardware temperature rise from continuous high-frequency scanning
3Measurement precision
If beam scanning frequency is increased to adapt to channel changes, then beam alignment accuracy is improved, but processing resource consumption increases
Solution Approach 1:
The system dynamically adapts beam scanning frequency based on detected channel conditions, mobility state, and beam cluster stability. By implementing variable scanning rates rather than uniform high-frequency scanning, the system maintains beam alignment accuracy during channel transitions while significantly reducing processing resource consumption during stable channel conditions through selective frequency adjustment
Data Source
Figure 1
Figure 2A
Figure 2B
AI summary
Technology herein selectively adjusts the frequency with which beam scanning is performed. Systems and methods herein determine present conditions of the UE and determine whether adjusting the current frequency of beam scanning is desired.