Phase Noise Compensation in Millimeter Wave Receivers
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Solution Overview
Problem
Wireless communication systems, particularly those operating in millimeter wave frequency bands, face significant challenges due to high phase noise levels that affect receiver performance, leading to reduced data reception quality and increased errors in decoding signals.
Innovation Solution
The implementation of phase noise compensation methods, where operational parameters such as signal quality metrics and carrier frequency offset measurements are used to determine whether to apply phase noise estimates to decode data symbols, with interpolation techniques applied based on signal quality and modulation schemes to optimize decoding performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If phase noise compensation is applied using pilot symbols, then data reception quality is improved, but system complexity increases due to additional processing requirements
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing phase noise compensation values in a lookup table during system initialization or calibration phases. When data reception occurs, the system simply queries the pre-computed table rather than performing complex real-time phase noise estimation and compensation calculations, thereby maintaining high reception quality while reducing operational complexity.
Solution Approach 2:
The patent uses copying by creating simplified models or representations of phase noise characteristics based on pilot symbols, then applying these copied models to compensate for phase noise in actual data symbols. This approach avoids directly computing complex phase noise effects on every data symbol, reducing processing complexity while maintaining compensation effectiveness.
2Measurement precision
If phase noise estimates from pilot symbols are used to decode data symbols, then decoding accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary phase noise estimation using pilot symbols before actual data decoding occurs. By completing this computationally intensive estimation phase in advance, the system prepares compensation parameters that can be quickly applied during data symbol decoding, thereby maintaining high decoding accuracy while minimizing the time penalty during critical data reception operations.
Solution Approach 2:
The patent applies partial action by using only the essential phase noise compensation parameters derived from pilot symbols, rather than performing complete and exhaustive phase noise analysis. This selective approach extracts the most critical compensation information needed for accurate decoding while avoiding unnecessary computational steps that would extend processing time.
3Measurement precision
If interpolation techniques are applied to phase noise estimates, then phase noise compensation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies parameter changes by transforming phase noise estimates from the time domain to the frequency domain using interpolation techniques. This parameter transformation allows the system to work with simplified frequency-domain representations of phase noise, achieving higher compensation accuracy through mathematical transformations rather than complex time-domain processing.
Solution Approach 2:
The patent substitutes mechanical or direct computational approaches with mathematical transformation methods. Instead of directly computing complex interpolation relationships in the time domain, the system uses frequency-domain transformations and mathematical models to achieve the same interpolation effect with reduced computational complexity.
Data Source
AI summary
Embodiments of a station (STA) and method for communication in accordance with phase noise compensation are generally described herein. The STA may determine, based at least partly on one or more operational parameters, whether to perform phase noise compensation of data symbols of a received protocol data unit (PDU). For instance, the STA may compare the operational parameters with one or more thresholds. The STA may further determine a method of phase noise compensation based at least partly on one or more operational parameters. As an example, the STA may determine a type of interpolation to be used for an interpolation of phase noise estimates of pilot symbols to determine phase noise estimates of data symbols. Example operational parameters may include a signal quality metric, a carrier frequency offset (CFO) measurement and/or modulation and coding scheme (MCS).