Dynamic Signal Processing Fidelity in Wireless Transceivers
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Solution Overview
Problem
Wireless communication devices face high power consumption due to circuitry designed for worst-case scenarios, leading to reduced battery life and increased costs, as they often operate in environments better than worst-case conditions, necessitating the ability to dynamically adjust signal processing fidelity.
Innovation Solution
Implementing a system where a controller dynamically analyzes and modifies the configuration of wireless receiver and transmitter circuits to adjust signal processing fidelity based on the environmental conditions, using DSP techniques to correct analog domain distortions and relax fidelity requirements when interference is minimal, thereby reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the receiver is designed with circuitry that will always meet the fidelity requirements, then the signal processing fidelity is improved, but the power consumption increases
Solution Approach 1:
The patent implements dynamic adjustment of signal processing fidelity by continuously monitoring the RF environment and adjusting the processing level accordingly. The system transitions from static worst-case design to dynamic adaptive processing, reducing power consumption when high fidelity is not required while maintaining reliability when needed.
Solution Approach 2:
The patent changes the operating parameters of the receiver circuitry based on environmental conditions. By adjusting parameters such as processing depth, filter complexity, and correction intensity according to the actual RF environment, the system optimizes the balance between fidelity and power consumption.
2Reliability
If the receiver is designed with circuitry that will always meet the fidelity requirements, then the signal processing fidelity is improved, but the device complexity increases
Solution Approach 1:
The system dynamically adjusts the complexity of signal processing based on environmental conditions. Instead of always using the most complex circuitry, the patent implements adaptive processing that reduces complexity when the RF environment allows for lower fidelity processing, thereby reducing overall device complexity requirements.
Solution Approach 2:
The patent changes processing parameters such as the number of correction taps, filter order, and processing depth based on the RF environment. This parameter adjustment allows the system to use simpler circuitry when high fidelity is not required, reducing device complexity.
3Reliability
If digital processing is used to correct analog domain distortions, then the signal processing fidelity is improved, but the power consumption increases
Solution Approach 1:
The patent applies partial digital correction rather than complete correction. By using a limited number of correction taps and processing only the most significant distortions, the system achieves sufficient fidelity improvement while minimizing the power consumption associated with extensive digital processing.
Solution Approach 2:
The system dynamically adjusts the extent of digital correction applied based on the RF environment. When the environment is favorable, the patent reduces the number of correction operations and processing intensity, thereby reducing power consumption while maintaining adequate fidelity.
Data Source
AI summary
A wireless user equipment (UE) device may include a receiver and transmitter. The UE device may dynamically vary the fidelity requirements imposed on the analog signal processing performed by the receiver and/or the transmitter in response factors such as: amount of signal interference (e.g., out-of-band signal power); modulation and coding scheme; number of spatial streams; extent of transmitter leakage; and size and/or frequency location of resources allocated to the UE device. Thus, the UE device may consume less power on average than a UE device that is designed to satisfy fixed fidelity requirements associated with a worst case reception scenario and/or a worst case transmission scenario.