Integrated Sensing Signal Transmission with Segmented Resources
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Solution Overview
Problem
Conventional uniform distribution of sensing signals in integrated sensing and communication systems requires high resource overheads to meet sensing requirements, faces challenges in finding continuous large-span time-frequency domain resources due to communication reference signals, and struggles with combining these signals to reduce resource overheads.
Innovation Solution
A signal transmission method that configures a resource pattern for integrated sensing and communication signals with M target resource units in a target domain, where M≥3, forming N target resource unit groups with intervals meeting maximum unambiguous measurement ranges for sensing quantities like Doppler, speed, or distance, optimizing resource allocation in time and frequency domains.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform distribution of sensing signals is used, then sensing measurement requirements are met, but resource overheads increase significantly
Solution Approach 1:
The patent segments the sensing signal resources into multiple groups (N≥2 groups) where each group contains at least two adjacent resource units. This segmentation allows the system to meet sensing measurement requirements through structured resource arrangement while reducing overall resource overhead by optimizing the distribution pattern across different resource units rather than requiring uniform high-density allocation throughout.
2Measurement precision
If continuous large-span time-frequency domain resources are allocated for sensing, then sensing performance is improved, but availability of such resources decreases due to communication reference signals
Solution Approach 1:
The patent applies local quality by configuring specific resource patterns within the time-frequency domain that are tailored for sensing purposes. Instead of requiring continuous large-span resources, the system locally optimizes resource allocation by identifying and configuring discrete resource units (M≥3) with specific intervals that meet sensing requirements while coexisting with communication reference signals in the same time-frequency domain.
3Measurement precision
If resource intervals are reduced to meet maximum unambiguous measurement ranges, then sensing accuracy is improved, but number of required resource units increases
Solution Approach 1:
The patent implements dynamic resource configuration where the interval between adjacent resource units within each group is specifically designed to meet the maximum unambiguous measurement range requirement. By making the resource pattern configurable and adaptive (N groups with specific interval requirements), the system achieves the necessary measurement range accuracy without requiring a fixed large number of resource units, allowing flexible adjustment based on specific sensing scenario requirements.
Data Source
AI summary
A signal transmission method is described. A first device receives parameter configuration information of a first signal, where the first signal is an integrated sensing and communication signal or a sensing signal, a resource pattern of the first signal meets a first feature, and the first feature is: including a target resource, where the target resource includes M target resource units in target domain, the target resource corresponds to at least two resource intervals in target domain, and the target resource unit is a resource unit allocated to the first signal; and the M target resource units in target domain include N target resource unit groups, each target resource unit group includes two adjacent target resource units in target domain in the M target resource units.