DFT-s-OFDM Block-PTRS Layout for Phase Noise Estimation
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Solution Overview
Problem
In high frequency band communication, phase noise is prominent due to the separation of real and imaginary parts of communication signals, leading to ineffective phase noise determination.
Innovation Solution
A phase noise suppression method using discrete Fourier transform-spread orthogonal frequency division multiplexing (DFT-s-OFDM) signals with specific configurations of block-phase noise tracking pilot signals (Block-PTRS) to determine phase noise by adjusting the number and phase/amplitude of real and imaginary part PTRSs, and sending these signals to a second device for interference determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If real part and imaginary part signals are separated to reduce PAPR, then PAPR is reduced, but phase noise determination becomes ineffective
Solution Approach 1:
The patent introduces block-phase noise tracking pilot signals (Block-PTRS) as an intermediary element that bridges the separated real and imaginary part signals. These pilot signals are specifically designed with even/odd number configurations and centralized location index arrangements to enable independent phase noise estimation for each part, thus mediating the measurement problem caused by signal separation
Solution Approach 2:
The patent changes the parameters of the pilot signals by configuring them with specific even/odd number quantities and centralized location indexes. This parameter modification allows the system to distinguish and independently measure phase noise in separated real and imaginary parts, resolving the measurement effectiveness issue while maintaining the PAPR reduction benefit
2Measurement precision
If block-phase noise tracking pilot signals with even/odd number configurations are used, then phase noise can be determined effectively, but signal structure complexity increases
Solution Approach 1:
The patent applies asymmetry by configuring real and imaginary part pilot signals with different even/odd number quantities. This asymmetric configuration creates distinct measurement characteristics for each signal part, enabling effective phase noise determination while maintaining manageable structural complexity through systematic differentiation
Data Source
AI summary
Methods and apparatuses for phase noise suppression. In an example method, a first device generates a first signal and sends the first signal to a second device. The first signal includes one or more discrete Fourier transform-spread orthogonal frequency division multiplexing (DFT-s-OFDM) signals. Each of the one or more DFT-s-OFDM signals includes P block-phase noise tracking pilot signal (Block-PTRS) patterns. Each of the P Block-PTRS patterns includes Q phase noise tracking pilot signals (PTRSs). The Q PTRSs include Q(1) real part PTRSs and Q(2) imaginary part PTRSs.


