Signal Decomposition Tuning for Base Station Power Amplifiers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Power amplification efficiency in base station transmitters is compromised due to fixed signal decomposition parameter values, which are not adaptable to varying external environments, leading to suboptimal performance in heterogeneous networks.
Innovation Solution
A method and apparatus that dynamically set and adjust multiple groups of parameter values for signal decomposition to maximize power amplification efficiency, using pattern search algorithms to determine optimal parameter settings based on instant or average power amplification efficiencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed parameter values are used for signal decomposition, then device complexity is reduced and ease of operation is improved, but power amplification efficiency deteriorates under varying environmental conditions
Solution Approach 1:
The patent implements dynamic parameter adjustment by introducing a parameter adjustment module that modifies signal decomposition parameters based on real-time feedback about power amplification efficiency. This transforms the static, fixed-parameter system into a dynamic one that adapts to changing environmental conditions, thereby maintaining optimal power amplification efficiency without significantly increasing system complexity
Solution Approach 2:
The patent employs feedback mechanisms where the actual power amplification efficiency is measured and fed back to the parameter adjustment module. This feedback loop enables the system to automatically adjust signal decomposition parameters to maximize efficiency, resolving the contradiction between ease of operation and power amplification efficiency by making the system self-regulating
2Loss of energy
If fixed parameter values are configured for maximum power amplification efficiency, then power amplification efficiency is maximized under specific conditions, but adaptability to external environmental changes deteriorates
Solution Approach 1:
The system transitions from static fixed parameters to dynamic adjustable parameters that can adapt to different environmental conditions. The parameter adjustment module enables the system to maintain optimal power amplification efficiency across varying temperatures, loads, and network conditions by continuously adjusting parameters based on real-time feedback
Solution Approach 2:
The patent directly addresses adaptability by implementing parameter changes in response to environmental variations. The signal decomposition parameters are no longer fixed but are dynamically modified based on feedback about power amplification efficiency, allowing the system to adapt to external changes while maintaining optimal performance
3Loss of energy
If multiple groups of parameter values are tested to find optimal settings, then power amplification efficiency is maximized, but measurement precision requirements and device complexity increase
Solution Approach 1:
The parameter adjustment module implements self-service by automatically selecting and adjusting optimal parameter values based on feedback about power amplification efficiency. This eliminates the need for manual parameter tuning and reduces the burden on operators, making the complexity management automated rather than eliminating complexity itself
Solution Approach 2:
The feedback mechanism enables the system to automatically identify optimal parameter settings by measuring power amplification efficiency and adjusting parameters accordingly. This feedback-driven approach reduces the need for extensive manual testing and measurement while maintaining high efficiency
Data Source
AI summary
The application relates to the field of communications technologies, and disclose a signal amplification processing method and apparatus. The method includes setting multiple groups of parameter values for a signal decomposition parameter group, separately performing signal amplification processing based on each group of parameter values, obtaining a power amplification efficiency corresponding to each group of parameter values, obtaining a group of parameter values corresponding to a maximum power amplification efficiency in the power amplification efficiency corresponding to each group of parameter values, and setting the group of parameter values corresponding to the maximum power amplification efficiency as parameter values of the signal decomposition parameter group. Thus, the power amplification efficiency may be improved.