UE Non-Linearity Capability Feedback for Downlink Power Control
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Solution Overview
Problem
Wireless communications systems face challenges in managing non-linearity in signal transmission, leading to increased power consumption and reduced signal-to-noise ratio, particularly in higher modulation orders.
Innovation Solution
User equipment (UE) reports its non-linearity reduction capability to the network entity through an extended channel state feedback (CSF) message, indicating a threshold for reducing signal non-linearity while maintaining link quality, allowing the network entity to adjust power amplifier supply voltage accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If higher modulation orders are used to increase data transmission rate, then productivity is improved, but non-linearity in signal transmission increases causing power consumption to increase and signal-to-noise ratio to deteriorate
Solution Approach 1:
The UE measures the actual non-linearity of received downlink signals and feeds back this information to the network entity via uplink signaling. The network entity uses this feedback to adjust its power amplifier operation, creating a closed-loop system that optimizes power consumption while maintaining transmission quality.
Solution Approach 2:
The network entity dynamically adjusts power amplifier supply voltage based on the reported non-linearity threshold parameter. By changing the operating parameters of the power amplifier according to actual channel conditions and UE capability, the system achieves optimal trade-off between power consumption and signal quality.
2Productivity
If higher modulation orders are used to increase data transmission rate, then productivity is improved, but signal-to-noise ratio deteriorates due to increased non-linearity
Solution Approach 1:
The UE measures the actual non-linearity of received downlink signals and feeds back this information to the network entity via uplink signaling. The network entity uses this feedback to adjust its power amplifier operation, creating a closed-loop system that optimizes power consumption while maintaining transmission quality.
Solution Approach 2:
The network entity adjusts power amplifier operation in advance based on the reported non-linearity threshold before actual data transmission occurs. This preliminary adjustment ensures that the transmission parameters are optimized for the current channel conditions, preventing SNR deterioration before it occurs.
3Reliability
If power amplifier supply voltage is increased to reduce non-linearity, then signal quality is improved, but power consumption increases
Solution Approach 1:
The network entity dynamically adjusts power amplifier supply voltage based on the reported non-linearity threshold parameter. By changing the operating parameters of the power amplifier according to actual channel conditions and UE capability, the system achieves optimal trade-off between power consumption and signal quality.
Solution Approach 2:
The system transitions from static power amplifier operation to dynamic adjustment based on real-time feedback. The power amplifier supply voltage is continuously adapted according to changing channel conditions and UE non-linearity cancellation capability, enabling the system to maintain signal quality while minimizing power consumption.
4Reliability
If non-linearity cancellation capability is enhanced at the UE, then signal quality is improved, but device complexity increases
Solution Approach 1:
The UE autonomously measures the non-linearity of received signals, determines its own cancellation capability, and reports this information to the network entity. The UE also performs non-linearity cancellation processing on received signals using its own resources, reducing the burden on the network entity and enabling the system to function without additional external assistance.
Data Source
AI summary
Methods, systems, and devices are described that support a report message for indicating non-linearity cancelation capability. A user equipment (UE) may receive one or more references signals from a network entity, where the reference signals are associated with a downlink resource allocation. The UE may measure a link quality metric for the reference signals. The UE may transmit a report message that includes at least a parameter indicating a non-linearity threshold associated with a capability of the UE to process non-linearity of downlink signals, where the parameter is based on the link quality metric and one or more characteristics of the downlink resource allocation. The network entity may receive the report message and transmit one or more downlink messages in accordance with the downlink resource allocation and based on the parameter.