Reference Signal Configuration via Resource Grid Segmentation
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Solution Overview
Problem
Conventional reference signal (RS) designs in wireless communication systems fail to provide sufficient flexibility for reducing overhead and increasing capacity, particularly in scenarios like non-terrestrial and Internet of Things transmissions with short scheduling durations and varying user equipment speeds.
Innovation Solution
The proposed solution involves identifying patterns on a resource grid for allocating reference signals based on pattern-based and resource-location-based parameters. This allows for non-consecutive DM-RS allocation patterns and dynamic selection of DM-RS patterns, enabling reductions in network latency, congestion, and bandwidth consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If conventional reference signal designs are used, then the system maintains basic coherence demodulation capability, but the overhead is high and capacity is limited
Solution Approach 1:
The patent segments the resource grid into multiple regions with different reference signal allocation patterns. Different types of reference signals (e.g., DM-RS, PTRS) are allocated to different segments or regions based on their specific requirements, allowing optimized overhead for each segment while maintaining overall system capacity.
Solution Approach 2:
The patent introduces dynamic reference signal configuration where the allocation patterns can be adjusted based on channel conditions, transmission scenarios, and user equipment mobility. This dynamic adaptation allows the system to reduce overhead in favorable conditions while maintaining capacity when needed.
2Reliability
If reference signals are densely allocated to ensure coverage, then demodulation reliability is maintained, but network latency and congestion increase
Solution Approach 1:
The patent applies different reference signal allocation densities to different spatial and frequency regions based on local channel conditions. Regions with good channel quality use sparser allocation reducing latency, while regions with poor quality use denser allocation maintaining reliability.
Solution Approach 2:
The patent changes key parameters such as reference signal periodicity, density, and pattern based on transmission conditions. This allows the system to optimize the balance between reliability and latency by adjusting parameters dynamically rather than using fixed dense allocation.
3Adaptability or versatility
If fixed reference signal patterns are used, then implementation is simple, but adaptability to different transmission scenarios is poor
Solution Approach 1:
The patent designs a universal reference signal framework that can serve multiple transmission scenarios (e.g., terrestrial and non-terrestrial, different mobility rates) through a unified configuration mechanism. The same basic structure adapts to different scenarios by parameter adjustment rather than requiring separate dedicated patterns for each case.
Data Source
AI summary
A system and method of identifying patterns on a resource grid, corresponding to resources that are allocated for a plurality of reference signals according to a set of pattern-based parameters. The system and method include identifying a set of resource-location-based parameters to define respective locations of a plurality of regions relative to each other on the resource grid, each region including a respective subset of the patterns. The system and method include configuring, to a receiving device, the set of pattern-based parameters and the set of resource-location-based parameters to schedule for the plurality of reference signals.