Phase Adjustment via Power Trend Analysis
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Solution Overview
Problem
Existing wireless communication systems face challenges in determining accurate phase adjustments to optimize signal power, leading to destructive interference among signals transmitted through multiple antenna elements.
Innovation Solution
A method is introduced to calculate phase adjustments by analyzing power trends through a control signal divided into windows, where previous and current power trends are compared to determine a phase increment, allowing for precise optimization of signal power by modifying the phase adjustments based on power trend changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If phase adjustments are determined using existing wireless communication systems, then signal transmission is achieved, but the phase adjustments are not accurate enough to optimize signal power, leading to destructive interference
Solution Approach 1:
The system uses feedback from power indicators in control signals to continuously adjust phase settings. Power indicators from previous and current windows are compared to determine power trend changes, which then drive phase increment calculations. This closed-loop feedback mechanism enables accurate optimization of signal power by dynamically adjusting phase based on actual system performance.
Solution Approach 2:
The system estimates power trends from previous windows before making phase adjustments for current windows. By analyzing historical power indicators and predicting future power trends, the system proactively adjusts phase settings in advance to prevent destructive interference rather than reacting to it after occurrence.
2Productivity
If multiple antenna elements are used to transmit signals, then spectral efficiency is enhanced, but signals propagate along different paths and reach the receiving device with different phases causing interference
Solution Approach 1:
The system applies different phase adjustments to signals from different antenna elements based on their individual power trends. Each antenna element's signal is locally optimized by calculating specific phase increments from its power indicators, ensuring that signals from multiple antennas arrive at the receiving device with coordinated phases rather than destructive interference.
3Measurement precision
If power trend changes are determined from control signals divided into windows, then more accurate phase adjustments are achieved, but the system complexity increases due to window analysis and comparison
Solution Approach 1:
The control signal is segmented into multiple windows, with each window containing power indicators from participating slots. By dividing the analysis into manageable window segments rather than processing the entire control signal at once, the system achieves accurate power trend estimation through localized analysis while keeping computational complexity tractable through modular processing.
Data Source
AI summary
Calculating a phase adjustment includes establishing a current phase adjustment for a signal transmitted from a modifying communication device to a feedback communication device. A control signal is received. The control signal comprises windows communicating power indicators that reflect the power of the signal. A previous window communicates power indicators reflecting the power of the signal, and a current window communicates current power indicators reflecting the power of the signal. A previous power trend is estimated from previous power indicators, and a current power trend is estimated from current power indicators. A power trend change is determined from the previous power trend and the current power trend, and a phase increment is determined in accordance with the power trend change. A next phase adjustment is calculated from the current phase adjustment and the phase increment.