Peak Reduction Tone Allocation for 5G PAPR
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing peak-to-average power ratio (PAPR) in 5G NR technology, leading to inefficient power amplifier operations and resource usage, particularly in scenarios involving high PAPR signals.
Innovation Solution
The implementation of peak reduction tone allocation techniques, where a transmitting device allocates peak reduction tones (PRTs) within a plurality of tones to generate PAPR reduction signals, allowing for the application of different modulation and coding schemes to data tones, thereby reducing signal peaks and improving power amplifier efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If peak reduction tones are allocated to reduce PAPR, then power amplifier efficiency is improved, but system complexity increases due to tone allocation management
Solution Approach 1:
The system divides the frequency spectrum into multiple tone groups, with specific tones designated as peak reduction tones (PRTs) and others as data tones. This segmentation allows independent optimization of PAPR reduction while maintaining data transmission on remaining tones, resolving the contradiction by structuring the frequency domain resources into functional segments.
Solution Approach 2:
The peak reduction tones are pre-allocated and configured before data transmission occurs. The transmitting device determines the PAPR reduction signal in advance based on the allocated PRTs, and the receiving device is pre-informed of the PRT locations through RRC signaling. This preliminary configuration reduces real-time processing complexity while maintaining PAPR reduction effectiveness.
2Reliability
If different MCS are applied to different data tones, then communication quality is improved, but processing complexity increases
Solution Approach 1:
Different modulation and coding schemes (MCS) are applied to different data tone groups based on their specific channel conditions and quality requirements. The first data tone group receives a first MCS while the second data tone group receives a second MCS, allowing localized optimization of communication quality for each tone group without requiring uniform processing across all tones.
Solution Approach 2:
The system dynamically selects and applies different MCS configurations to different data tone groups based on varying channel conditions and quality requirements. This dynamic adaptation allows the system to optimize communication quality for each tone group independently, resolving the contradiction between quality improvement and processing complexity through adaptive, condition-based processing.
Data Source
AI summary
A transmitting device applies a first MCS to a first set of data tones that overlaps with a first set of PRTs within a plurality of tones, the first set of PRTs being associated with a first PAPR reduction signal. The transmitting device applies a second MCS to a second set of data tones that overlaps with a second set of PRTs within the plurality of tones, the second set of PRTs being associated with a second PAPR reduction signal. The transmitting device can transmit a transmission signal comprising the first set of data tones and the second set of data tones, the transmission signal using a waveform based at least in part on the first PAPR reduction signal and the second PAPR reduction signal.