PTRS Density Configuration via MCS Thresholds
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Solution Overview
Problem
In next-generation wireless communications networks operating above 6 GHz, phase noise, Doppler effect, and center frequency offset introduce significant phase errors, leading to performance degradation and increased resource overheads due to fixed time and frequency domain densities of phase tracking reference signals (PTRS).
Innovation Solution
A method to flexibly configure the PTRS by determining a target modulation and coding scheme (MCS) based on predetermined thresholds, allowing for adjustable time and frequency domain densities, thereby reducing resource overheads and ensuring system performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the time domain density and frequency domain density of PTRS are fixed values, then channel estimation and phase tracking can be performed, but resource overheads increase significantly in high data bandwidth scenarios
Solution Approach 1:
The patent applies dynamics by making the PTRS time domain density and frequency domain density adjustable parameters rather than fixed values. The network device dynamically configures these densities based on data bandwidth, modulation and coding scheme (MCS), and phase noise characteristics, allowing the system to adapt PTRS density to actual channel conditions and reduce overhead when possible while maintaining tracking accuracy when needed.
Solution Approach 2:
The patent implements parameter changes by introducing configurable parameters for PTRS time domain density (e.g., every 1st, 2nd, 4th symbol) and frequency domain density (e.g., every 1st, 2nd, 4th subcarrier). These parameters are adjusted based on data bandwidth size, MCS index, and estimated phase noise variance, enabling the system to optimize the balance between phase tracking performance and resource overhead.
2Quantity of substance
If PTRS density is reduced to lower resource overheads, then resource efficiency improves, but phase tracking performance degrades in high-frequency systems with severe phase noise
Solution Approach 1:
The patent applies local quality by differentiating PTRS density requirements across different frequency bands and channel conditions. Instead of using uniform high density throughout the spectrum, the system configures higher PTRS density in subcarriers and symbols where phase noise impact is most severe (e.g., higher frequency subcarriers, symbols with larger time offsets), and lower density where phase noise is less problematic, thereby optimizing the trade-off between overhead and performance.
Solution Approach 2:
The patent implements feedback mechanisms where the receiving device estimates phase noise based on received PTRS and channel state information, then feeds back phase noise characteristics to the transmitting device. This feedback enables the network to adjust PTRS density configurations adaptively, increasing density when phase noise estimation indicates severe conditions and reducing density when conditions are favorable, thus maintaining performance while minimizing overhead.
3Quantity of substance
If MCS threshold is set low to reduce PTRS overhead, then resource efficiency increases, but system performance may be compromised in high data bandwidth scenarios
Solution Approach 1:
The patent applies dynamics by making the MCS threshold for PTRS density determination a configurable parameter rather than a fixed value. The network device dynamically adjusts the MCS threshold based on data bandwidth, phase noise characteristics, and channel conditions, allowing flexible optimization of the trade-off between overhead reduction and throughput maintenance under different operating scenarios.
Solution Approach 2:
The patent implements parameter changes by introducing MCS threshold as an adjustable parameter in the PTRS configuration process. By changing this threshold parameter based on system conditions (e.g., higher thresholds for high bandwidth scenarios where overhead reduction is more critical, lower thresholds for scenarios where throughput is prioritized), the system can adaptively optimize the balance between resource efficiency and system performance.
Data Source
AI summary
Embodiments of this application disclose a wireless communication method and an apparatus. The method includes: determining a target MCS if a current MCS exceeds a predetermined threshold, where the target MCS is an MCS less than or equal to the predetermined threshold; mapping a PTRS to one or more symbols based on the target MCS; and sending, to a terminal device, the symbol to which the PTRS is mapped. through implementation of the embodiments of this application, when the current MCS exceeds the predetermined threshold, the target MCS that is less than or equal to the predetermined threshold may be determined, so that a density of a PTRS on a time-frequency resource can be flexibly determined based on the target MCS and an association relationship between an MCS threshold and a time domain density of a PTRS, thereby helping reduce resource overheads of the PTRS.