Dynamic Frequency Spur Detection with DMRS-Based Rate Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems struggle to effectively detect and mitigate dynamic frequency spurs, which can degrade UE performance due to their inconsistent nature over time, limiting the impact of existing frequency spur detection and mitigation techniques.
Innovation Solution
A UE performs DMRS-based spur detection and estimation by filtering frequency-domain symbols to identify frequency spurs, estimates their frequencies, and transmits spur information to the network entity, which outputs a rate matching pattern for subsequent communications to mitigate the spurs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing frequency spur detection techniques are used, then static frequency spurs can be detected, but dynamic frequency spurs with inconsistent nature over time cannot be effectively detected and mitigated
Solution Approach 1:
The patent applies preliminary action by performing spur detection and estimation before actual data transmission occurs. The UE detects frequency spurs using DMRS signals and estimates their characteristics in advance, allowing the network to configure rate matching patterns beforehand. This preliminary detection enables the system to adapt to dynamic spurs before they impact data communication, resolving the contradiction between reliable detection and adaptability to dynamic conditions.
Solution Approach 2:
The patent implements feedback through UE signaling that reports detected spur information back to the network entity. The network receives spur detection results from the UE and uses this feedback to adjust transmission parameters, including configuring rate matching patterns. This feedback mechanism enables continuous adaptation to dynamic frequency spurs, improving both detection reliability and system versatility.
2Reliability
If frequency spur detection is performed continuously, then dynamic spurs can be tracked, but processing complexity and overhead increase
Solution Approach 1:
The patent performs spur detection preliminarily using DMRS (demodulation reference signal) symbols before data transmission. By detecting spurs in advance during the reference signal phase, the system avoids the need for continuous complex processing during data transmission. The UE estimates spur characteristics from DMRS and reports them, allowing the network to prepare mitigation strategies beforehand, thus reducing real-time processing complexity while maintaining detection accuracy.
Solution Approach 2:
The UE performs self-service by autonomously detecting and estimating frequency spurs using its own received DMRS signals, then signaling the results to the network. This self-service capability reduces the network's processing burden and enables distributed spur management, lowering overall system complexity while maintaining reliable detection through UE-based monitoring.
3Productivity
If rate matching pattern is configured based on spur parameters, then communication performance improves, but signaling overhead increases
Solution Approach 1:
The UE performs self-service spur detection and estimation, then signals only the essential spur parameters to the network. This self-service approach allows the UE to handle complex detection locally while minimizing signaling overhead by transmitting only necessary information (spur frequency, magnitude, and location) rather than complete signal characteristics. The network then configures rate matching patterns based on these condensed parameters, achieving good communication performance with reduced signaling overhead.
Solution Approach 2:
The patent changes parameters by transforming detailed spur characteristic data into a simplified parameter representation (frequency, magnitude, location) for network signaling. This parameter transformation reduces the amount of information that needs to be transmitted while preserving the essential information needed for rate matching pattern configuration, thus improving communication performance without proportionally increasing signaling overhead.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A user equipment (UE) may receive a demodulation reference signal (DMRS) and perform a filtering procedure on frequency-domain symbols of the DMRS to obtain a frequency-domain noise signal associated with the frequency-domain symbols. The UE may perform a spur detection procedure on the frequency-domain noise signal to detect one or more frequency spurs associated with the frequency-domain symbols. In addition, the UE may estimate a frequency of the frequency spurs. In some implementations, the UE may transmit information indicating spur parameters associated with the frequency spurs (e.g., including the estimated frequency) to a network entity. The UE may receive a control message indicating a rate matching pattern for subsequent communications, the rate matching pattern based on the spur parameters. The UE and the network entity may communicate according to the rate matching pattern.