Dynamic SRS Resource Sets for High-Mobility Doppler Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems face challenges in accurately estimating uplink Doppler parameters due to inaccurate or unreliable reference signals, particularly in high mobility environments, which hinders proper Doppler pre-compensation and efficient channel estimation.
Innovation Solution
Implementing flexible and dynamic configurations for Doppler tracking SRS resource sets, allowing base stations to adjust time gaps and resource allocations based on changing channel conditions, UE speed, and deployment parameters to enhance Doppler parameter estimation accuracy and reduce overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional reference signals are used for Doppler estimation, then the system maintains basic compatibility with existing standards, but the Doppler parameter estimation accuracy deteriorates in high mobility environments
Solution Approach 1:
The patent implements dynamic SRS resource set configurations where the base station can adjust time gaps, periodicity, and resource allocations based on changing channel conditions and UE speed. This dynamic adaptation allows the system to maintain reliable Doppler estimation in high mobility environments by optimizing reference signal parameters in real-time according to the actual mobility state.
Solution Approach 2:
The patent introduces new SRS resource set parameters including usageType for Doppler tracking, configurable time gaps between SRS transmissions, and adjustable periodicity. These parameter changes enable the reference signals to be specifically optimized for Doppler estimation, transforming the generic reference signal into a specialized tool for high-precision Doppler measurement in mobile scenarios.
2Measurement precision
If more SRS resources are allocated for Doppler tracking, then the Doppler parameter estimation accuracy improves, but the SRS overhead increases
Solution Approach 1:
The base station dynamically adjusts the number and density of SRS resources based on the UE's mobility state and channel conditions. For high mobility UEs requiring accurate Doppler estimation, the system allocates more SRS resources with smaller time gaps. For stationary or low mobility UEs, the system reduces SRS overhead by increasing time gaps or reducing the number of SRS transmissions, thus optimizing the trade-off between estimation accuracy and resource consumption.
Solution Approach 2:
The patent applies different SRS resource configurations to different UEs or different time periods based on their specific mobility characteristics. Instead of using a uniform SRS configuration for all UEs, the system tailors the SRS resource density, time gaps, and periodicity to the local requirements of each UE's mobility state, ensuring efficient resource utilization while maintaining necessary estimation accuracy.
3Adaptability or versatility
If fixed SRS resource configurations are used, then the system complexity is reduced, but the adaptability to changing channel conditions and mobility states deteriorates
Solution Approach 1:
The system implements feedback mechanisms where the base station monitors UE mobility state, channel conditions, and Doppler estimation quality, then adjusts SRS resource set configurations accordingly. The base station receives feedback about the effectiveness of current SRS configurations and dynamically optimizes parameters such as time gaps, periodicity, and resource allocations to maintain optimal Doppler tracking performance under varying conditions.
Solution Approach 2:
The patent transforms fixed SRS configurations into dynamic, adaptive configurations that automatically adjust to changing mobility states and channel conditions. The base station controls the activation and deactivation of different SRS resource sets based on real-time assessments of UE mobility, enabling the system to adapt its reference signal strategy to match the current operational context without requiring complex manual reconfiguration.
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive configuration information for a sounding reference signal (SRS) resource set, the configuration information indicating a usage type for the SRS resource set associated with Doppler tracking and a configuration for one or more associated SRS resource identifiers. Some configuration parameters of the SRS resource set and the associated SRS resource identifiers can be dynamically reconfigured in order to allow adaptive SRS time domain pattern for enhanced Doppler parameter estimation and/or synchronization loop tracking, among other examples. The UE may transmit one or more SRSs in accordance with the configuration or dynamic reconfiguration information for the SRS resource set and the associated SRS resources based at least in part on receiving the configuration and/or reconfiguration information. Numerous other aspects are described.