Dynamic Base Station Non-Linearity Cancellation Control
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges with non-linearity (NL) impairments at network node power amplifiers, which limit data transmission rates and increase power consumption and latency when NL cancellation is applied unnecessarily.
Innovation Solution
A method where user equipment (UE) provides an SNR indication to a network node, which then determines the actual NL distortion/noise level based on the SNR indication and thermal noise levels. This determination is used to indicate to the UE whether to activate or deactivate NL cancellation, optimizing resource usage and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If NL cancellation is applied continuously, then communication accuracy is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic control of NL cancellation by switching between active and inactive states based on real-time SNR conditions. The system dynamically adjusts the cancellation operation rather than maintaining it continuously, resolving the contradiction between maintaining communication accuracy and reducing power consumption.
Solution Approach 2:
The system changes the operational parameter of NL cancellation based on SNR threshold comparisons. When SNR exceeds the threshold, cancellation is deactivated; when SNR falls below, cancellation is activated. This parameter-based control resolves the contradiction by adapting system behavior to communication conditions.
2Reliability
If NL cancellation is applied continuously, then communication accuracy is improved, but latency increases
Solution Approach 1:
The system dynamically switches NL cancellation on and off based on SNR conditions rather than operating continuously. This dynamic approach maintains accuracy when needed (low SNR) while reducing latency when conditions permit (high SNR), resolving the time-performance contradiction.
Solution Approach 2:
The system employs periodic evaluation of SNR conditions to determine when to activate or deactivate NL cancellation. This periodic checking mechanism ensures cancellation is applied only during necessary intervals, reducing overall processing latency while maintaining accuracy during critical periods.
3Use of energy by moving object
If NL cancellation is deactivated, then power consumption is reduced, but communication accuracy deteriorates
Solution Approach 1:
The system uses SNR as a control parameter to determine cancellation state. By comparing SNR against a threshold, the system intelligently switches between cancellation modes, ensuring power is saved only when communication conditions are good, thus resolving the energy-accuracy tradeoff.
Solution Approach 2:
The system implements feedback-based control where SNR measurements inform the cancellation decision. This closed-loop approach ensures that cancellation is deactivated only when feedback indicates sufficient signal quality, preventing accuracy deterioration while achieving power savings.
4Productivity
If SNR indication is provided and NL cancellation is selectively activated, then resource usage efficiency is improved, but system complexity increases
Solution Approach 1:
The UE autonomously determines SNR conditions and controls its own NL cancellation operation based on threshold comparisons. This self-service approach improves resource efficiency without requiring complex network-side control, resolving the efficiency-complexity contradiction.
Solution Approach 2:
The system uses simple SNR threshold parameter comparisons to control cancellation behavior. This parameter-based decision logic achieves resource efficiency through straightforward conditional checks rather than complex algorithms, minimizing the increase in system complexity.
Data Source
AI summary
An efficient scheme for suppression of base station NL is described. An apparatus is configured to provide, for a network node, an SNR indication for signals associated with the network node. The apparatus is configured to receive, from the network node, a NL indication based on the SNR indication, where the NL indication indicates an activation or deactivation of NL cancelation for the UE, and to demodulate data based on the NL indication. Another apparatus is configured to receive, from a UE, an SNR indication for signals associated with the network node. The apparatus is configured to provide, for the UE, a NL indication based on at least one of the SNR indication, a NL distortion level associated with the network node, or a thermal noise level associated with the network node, where the NL indication indicates an activation or deactivation of NL cancelation for the UE.


