Low-PAPR DMRS Sequences Using Iterative Clipping and Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in managing peak-to-average-power-ratio (PAPR) of demodulation reference signals (DMRS), which affects signal transmission efficiency and quality.
Innovation Solution
Implementing a digital iterative clipping and filtering (ICF) process to generate a second reference signal sequence based on a first reference signal sequence, optimizing the DMRS to reduce PAPR and enhance transmission performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional DMRS sequences are used for communication, then the reference signal can be transmitted, but the PAPR is high causing power amplification inefficiency and signal quality degradation
Solution Approach 1:
The patent applies parameter changes by modifying the DMRS sequence parameters through digital ICF processing. The sequence undergoes iterative clipping and filtering operations that transform the original high-PAPR sequence into a low-PAPR sequence, changing the amplitude distribution characteristics while preserving the essential correlation properties needed for channel estimation.
Solution Approach 2:
The patent implements preliminary action by performing the digital ICF process on the DMRS sequence before transmission. The sequence is pre-processed to reduce PAPR, ensuring that when the signal reaches the power amplifier, it operates in a more efficient linear region, avoiding the need for excessive power back-off that would otherwise be required to accommodate high PAPR peaks.
2Use of energy by moving object
If digital ICF process is applied to reduce PAPR, then power efficiency improves, but the processing complexity increases
Solution Approach 1:
The patent employs feedback mechanisms in the digital ICF process where the output of each clipping and filtering operation is fed back into the next iteration. The process continuously monitors the PAPR of the processed sequence and adjusts the filtering parameters and clipping thresholds accordingly, performing multiple iterations until the desired PAPR reduction is achieved or a maximum iteration count is reached.
Solution Approach 2:
The patent applies dynamics by making the ICF process adaptive and iterative rather than static. The filtering operations use dynamic parameters that change with each iteration, and the process can adjust the number of iterations and processing intensity based on the specific characteristics of the input sequence and the target PAPR requirement, allowing flexibility in balancing complexity and performance.
Data Source
AI summary
Apparatus, methods, and computer program products for processing reference signals are provided. An example method may include receiving or transmitting an indication associated with support of a first reference signal sequence, where the first reference signal is based on a second reference signal sequence via a digital iterative clipping and filtering (ICF) process. The example method may further include communicating with a second network entity based on a set of reference signals, where the first reference signal sequence includes the set of reference signals.