Multi-Numerology PAPR Reduction via Phase and Amplitude Adjustment
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Solution Overview
Problem
Multi-numerology systems in wireless communication face challenges in reducing peak-to-average power ratio (PAPR), which leads to signal distortion and performance degradation, especially in 5G NR systems, due to high PAPR causing nonlinear effects in power amplifiers.
Innovation Solution
A transmitting device is configured to generate and combine OFDM symbols from multiple numerologies by determining adjustment processing based on minimizing PAPR through phase and amplitude adjustments, and selecting optimal numerology combinations to reduce PAPR, without requiring additional complex architectures or IFFT operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple numerologies are combined in OFDM signals to support diverse 5G services, then system flexibility and service capability are improved, but peak-to-average power ratio increases causing signal distortion and performance degradation
Solution Approach 1:
The patent applies parameter changes by adjusting phase and amplitude parameters of OFDM symbols across different numerologies. The cost function optimizes these parameters to minimize PAPR while maintaining service diversity, directly resolving the contradiction between adaptability and signal distortion
Solution Approach 2:
The patent implements preliminary action by determining adjustment processing for OFDM symbols before combination. The cost function evaluation and parameter optimization are performed in advance to prevent PAPR-induced distortion, rather than correcting it after signal combination
2Reliability
If PAPR reduction techniques are applied to combined numerology signals, then signal quality is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by focusing PAPR reduction only on the combination of multiple numerologies, rather than processing each numerology separately or applying comprehensive signal processing. The cost function optimizes adjustment parameters selectively to achieve sufficient PAPR reduction without exhaustive computation
Solution Approach 2:
The system performs self-service by evaluating the cost function that directly measures PAPR impact and automatically determining optimal adjustment processing. This self-optimizing approach avoids the need for complex external PAPR reduction algorithms, reducing computational complexity while maintaining signal quality
3Object-affected harmful factors
If adjustment processing is applied to each OFDM symbol to minimize PAPR, then peak-to-average power ratio is reduced, but processing complexity increases
Solution Approach 1:
The patent merges the PAPR optimization process by determining adjustment processing for multiple OFDM symbols simultaneously through a unified cost function evaluation. This combined approach reduces the number of separate optimization operations needed, lowering processing complexity while achieving PAPR reduction across all symbols
Data Source
AI summary
Methods and techniques are described for reducing PAPR in a system with multiple numerologies. The PAPR is reduced by means of minimization of a cost function including PAPR for some predefined parameters. For example, PAPR may be minimized for phase and/or amplitude and/or time/cyclic shift adjustment to adjust OFDM symbol phase and/or amplitude, or for number and/or type of numerologies to be combined for the transmission.