PTRS Allocation for Phase Noise in mmWave Systems
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Solution Overview
Problem
In mmWave wireless communication systems, phase noise cancellation is challenging due to high-frequency characteristics, leading to signal distortion and decoding errors, particularly in areas with deep-null phenomena and significant path loss.
Innovation Solution
A method for allocating a Phase Tracking Reference Signal (PTRS) to resource blocks within a scheduled bandwidth, determining the interval based on bandwidth thresholds, and optimizing PTRS allocation to improve phase noise cancellation and signal transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If PTRS is allocated to every resource block to improve phase noise cancellation accuracy, then phase noise cancellation performance is improved, but reference signal overhead increases
Solution Approach 1:
The patent applies local quality by making PTRS allocation density variable across different resource blocks based on local channel conditions. Specifically, PTRS is allocated more densely in resource blocks experiencing deep-null phenomena or high phase noise, while using sparser allocation in other regions, thereby optimizing the balance between cancellation accuracy and overhead.
Solution Approach 2:
The patent implements dynamic PTRS allocation where the density and positioning of PTRS are adjusted according to channel state information and phase noise characteristics. The allocation pattern changes adaptively based on scheduling bandwidth, channel quality indicators, and detected deep-null locations, rather than using a fixed uniform distribution.
2Measurement precision
If PTRS allocation density is increased to improve signal decoding accuracy, then decoding accuracy is improved, but spectral efficiency decreases
Solution Approach 1:
The patent applies local quality by making PTRS allocation density variable across different resource blocks based on local channel conditions. Specifically, PTRS is allocated more densely in resource blocks experiencing deep-null phenomena or high phase noise, while using sparser allocation in other regions, thereby optimizing the balance between cancellation accuracy and overhead.
Solution Approach 2:
The patent changes the parameter of PTRS allocation density dynamically based on channel conditions, scheduling bandwidth, and phase noise characteristics. By adjusting this parameter adaptively rather than using a fixed value, the system achieves high decoding accuracy where needed while maintaining overall spectral efficiency.
3Ease of operation
If PTRS is allocated uniformly across all resource blocks, then allocation simplicity is maintained, but phase noise cancellation performance deteriorates in deep-null areas
Solution Approach 1:
The patent applies local quality by making PTRS allocation density variable across different resource blocks based on local channel conditions. Specifically, PTRS is allocated more densely in resource blocks experiencing deep-null phenomena or high phase noise, while using sparser allocation in other regions, thereby optimizing the balance between cancellation accuracy and overhead.
Solution Approach 2:
The patent performs preliminary identification of deep-null resource blocks and phase noise-prone regions before finalizing PTRS allocation. By detecting channel conditions in advance and pre-determining allocation patterns for problematic areas, the system ensures reliable phase noise cancellation without requiring complex real-time adjustments during transmission.
4Productivity
If scheduling bandwidth is increased to improve data transmission capacity, then transmission capacity is improved, but phase noise impact increases
Solution Approach 1:
The patent applies local quality by making PTRS allocation density variable across different resource blocks based on local channel conditions. Specifically, PTRS is allocated more densely in resource blocks experiencing deep-null phenomena or high phase noise, while using sparser allocation in other regions, thereby optimizing the balance between cancellation accuracy and overhead.
Solution Approach 2:
The patent segments the wide scheduling bandwidth into multiple resource blocks and applies different PTRS allocation strategies to different segments. By dividing the bandwidth and treating each segment according to its local channel characteristics, the system can handle large bandwidths while mitigating phase noise impact through localized optimized allocation.
Data Source
AI summary
According to an embodiment of the present specification, a method for transmitting, by a base station, a signal for eliminating phase noise by a terminal in an mmWave communication system may be provided. A method for transmitting a signal for eliminating phase noise may comprise the steps of: generating a PTRS; allocating the PTRS to one or more resource blocks included in a scheduled bandwidth; and transmitting the allocated PTRS, wherein an interval between the one or more resource blocks, to which the PTRs are allocated, is determined on the basis of the scheduled bandwidth.