Non-linearity Cancellation via Polynomial Coefficients in Wireless Channels
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently canceling non-linear distortions in downlink physical channels, which degrade signal quality and interfere with neighboring frequency bands, especially with the increasing use of multiple-input multiple-output (MIMO) technology.
Innovation Solution
The method involves applying a precoding operation to a downlink physical channel, estimating the cross-correlation of power delay profiles associated with the precoding, and obtaining coefficients for non-linearity. These coefficients are then transmitted via a physical downlink control channel, allowing user equipment (UE) to generate non-linearity approximation signals and cancel them from the downlink shared channel communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network nodes transmit non-linearity approximation signals to cancel distortions, then signal quality improves, but available bandwidth for data transmissions decreases
Solution Approach 1:
The patent creates a simplified copy of the non-linearity characteristics using polynomial coefficients that model the distortion behavior. Instead of transmitting actual non-linearity approximation signals, the receiver uses these coefficients to generate and cancel distortion copies locally, thereby preserving bandwidth while maintaining signal quality.
Solution Approach 2:
The patent extracts the essential non-linearity characteristics from the complex distortion signals and represents them through a compact set of polynomial coefficients. This extraction allows the receiver to reconstruct and cancel distortions without requiring transmission of the full non-linearity approximation signals, thus freeing up bandwidth for data transmissions.
2Reliability
If network nodes transmit non-linearity approximation signals, then non-linearity cancellation effectiveness improves, but network bandwidth is reduced
Solution Approach 1:
The patent transforms the non-linearity cancellation approach from signal-based to parameter-based by using polynomial coefficients to characterize distortions. This parameter change enables compact representation and transmission of non-linearity characteristics, maintaining cancellation effectiveness while conserving network bandwidth for data transmissions.
3Productivity
If UE generates non-linearity approximation signals locally, then bandwidth is preserved, but UE power consumption increases
Solution Approach 1:
The patent enables the UE to generate local copies of non-linearity distortion signals using received polynomial coefficients. This copying approach allows the UE to cancel distortions effectively while avoiding the need to receive and process full non-linearity approximation signals, thereby preserving bandwidth and managing power consumption efficiently.
4Quantity of substance
If polynomial coefficients are used to model non-linearity, then transmission overhead is reduced, but modeling precision must be maintained
Solution Approach 1:
The patent uses polynomial coefficients as compact parameters to model complex non-linear distortions. This parameterization reduces transmission overhead significantly compared to transmitting full non-linearity approximation signals, while the polynomial model maintains sufficient precision to accurately represent and cancel the distortions in practical wireless communication scenarios.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a network node may apply a precoding operation to a downlink physical channel. The network node may obtain a plurality of coefficients associated with a non-linearity of the downlink physical channel in accordance with estimating a cross-correlation of a plurality of power delay profiles associated with the precoding operation. The network node may precode a physical downlink shared channel communication in accordance with a result of the precoding operation. The network node may transmit the plurality of coefficients via a physical downlink control channel communication. Numerous other aspects are described.