Iterative Phase-Noise Cancellation for Wireless Data Subsets
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Solution Overview
Problem
Wireless communication systems face challenges in decoding data transmissions with higher constellation granularities due to phase-noise issues, where existing phase-noise correction methods are insufficient, leading to reliability concerns.
Innovation Solution
Implementing iterative phase-noise correction operations by encoding data transmissions with multiple subsets using different constellation granularities, allowing user equipment (UE) to estimate and correct phase-noise across these subsets, thereby reducing phase-noise and enhancing decoding reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If phase-noise correction is performed using traditional methods on data with higher constellation granularities, then decoding reliability improves, but the complexity of the correction process increases significantly
Solution Approach 1:
The patent segments the data transmission into multiple subsets, each encoded with different constellation granularities (e.g., first subset with lower granularity, second subset with higher granularity). This segmentation allows the UE to perform phase-noise correction iteratively on each subset separately, managing complexity while improving overall decoding reliability for higher constellation granularities.
Solution Approach 2:
The base station performs preliminary encoding of data subsets with different constellation granularities before transmission. The UE then uses this structured approach to perform preliminary phase-noise estimation and correction on lower granularity subsets before tackling higher granularity subsets, reducing the overall complexity burden.
2Productivity
If multiple constellation granularities are used in data transmission, then communication efficiency improves, but phase-noise cancellation becomes more difficult
Solution Approach 1:
The patent divides the data transmission into multiple subsets with different constellation granularities, allowing the UE to handle phase-noise cancellation systematically. By segmenting the data, the UE can estimate and correct phase-noise for each subset separately, making the overall process more manageable despite the complexity of multiple granularities.
Solution Approach 2:
The patent implements an iterative feedback mechanism where the UE estimates phase-noise based on decoded data from lower granularity subsets, then uses this estimation to correct higher granularity subsets. This feedback loop allows the system to maintain communication efficiency while managing phase-noise cancellation difficulty through adaptive correction.
3Measurement precision
If iterative phase-noise correction is implemented, then decoding accuracy for higher constellation granularities improves, but processing time increases
Solution Approach 1:
The patent segments the correction process into iterations, where each iteration handles a specific subset with a particular constellation granularity. This segmentation allows the UE to perform phase-noise correction efficiently by processing subsets in manageable orders, improving decoding accuracy without excessive processing time increase.
Solution Approach 2:
The base station performs preliminary encoding with multiple constellation granularities, and the UE uses this structure to perform preliminary phase-noise estimation on easier-to-decode subsets before tackling more difficult higher granularity subsets, reducing total processing time while maintaining high decoding accuracy.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may transmit, to a base station, a request for a data transmission that includes multiple subsets of data each associated with a different constellation granularity. In response to the request, the base station may encode the data transmission using multiple different constellation granularities and may transit the encoded data transmission to the UE. For example, the UE may receive the data transmission including a first subset of data that was encoded by the base station using a first constellation granularity and a second subset of data that was encoded by the base station using a second constellation granularity. The UE may then iteratively estimate phase-noises associated with respective subsets of data and perform phase-noise correction operations on the entire data transmission based on the estimated phase-noises.