Analog Front End Linearizer for Wireless Signal Quality
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Solution Overview
Problem
Wireless communication systems face challenges in maintaining signal quality due to non-linearity in the analog front end of user equipment (UE), which affects the signal-to-noise ratio (SNR) and increases the risk of retransmissions.
Innovation Solution
The implementation of a linearizer in the UE, which includes a set of lookup tables (LUTs), allows for the linearization of digital signals outputted by the analog front end. This linearization process involves obtaining an output voltage value based on an input voltage value associated with the digital signal, thereby reducing non-linearity and enhancing SNR.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If analog front end components are used in UE, then signal processing capability is improved, but non-linearity is introduced that degrades signal quality and reduces SNR
Solution Approach 1:
A linearizer component is introduced as an intermediary between the analog front end and subsequent signal processing stages. This linearizer compensates for the non-linear distortion introduced by analog components, effectively mediating the harmful effect and restoring signal fidelity without requiring changes to the original analog front end architecture.
Solution Approach 2:
The system dynamically adjusts parameters of the linearizer based on the operating conditions and characteristics of the analog front end. By changing parameters such as gain, phase, and filtering characteristics, the linearizer adapts to compensate for non-linearity under different signal conditions, maintaining optimal signal quality across varying operational states.
2Reliability
If non-linearity compensation is implemented, then signal-to-noise ratio is improved, but device complexity increases
Solution Approach 1:
The linearizer is divided into multiple functional segments or stages, each addressing specific aspects of non-linearity compensation. This segmentation allows the complex compensation task to be distributed across simpler sub-components, making the overall system more manageable and potentially enabling parallel processing that can improve performance while maintaining reasonable complexity levels.
Solution Approach 2:
The linearizer implements compensation for the most significant non-linear distortion components rather than attempting to correct all possible distortions. By focusing on the dominant non-linear effects that most impact SNR, the system achieves substantial improvement in signal quality while avoiding the excessive complexity that would result from attempting complete non-linearity elimination.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A user equipment (UE) may transmit a first message indicating a capability to linearize a digital signal outputted by an analog front end of the UE, the digital signal being associated with a first transmission. The UE may receive the first transmission, the first transmission being associated with a gain state comprising a set of configurations associated with a plurality of amplifiers at the UE, and the UE may linearize the digital signal associated with the first transmission based at least in part on the gain state, where linearizing the digital signal comprises obtaining an output voltage value corresponding to an input voltage value associated with the analog front end. In some examples, the UE may obtain an output voltage value from a lookup table (LUT) of a set of LUTs configured to the UE or generated by the UE.