Radio Node Sensing with Multi-Stage Signal Refinement
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Solution Overview
Problem
Existing joint communication and sensing systems face challenges in achieving accurate and efficient sensing due to high signal overhead, interference issues, and the need for full-duplex communication, particularly in mono-static and multi-static scenarios, which affect the detection of objects in wireless communication networks.
Innovation Solution
Implementing multi-stage or hierarchical sensing methods that utilize signals with varying bandwidth, beamwidth, and duplex directions to reduce overhead and enhance accuracy, including the use of different reference signals for rough and refined sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mono-static sensing is used with simultaneous transmission and reception, then sensing capability is improved, but full-duplex communication complexity and interference increase
Solution Approach 1:
The sensing process is divided into multiple stages: a first stage using wideband signals for rough sensing and object detection, followed by a second stage using narrowband signals for refined sensing of detected objects. This segmentation allows the system to achieve reliable sensing capability without requiring full-duplex operation throughout the entire sensing process, thereby reducing communication complexity.
Solution Approach 2:
The system dynamically switches between wideband and narrowband signals based on sensing requirements. Wideband signals are used initially for broad coverage and object detection, then the system transitions to narrowband signals for detailed sensing of specific targets. This dynamic adaptation enables reliable sensing while managing communication resources efficiently.
2Measurement precision
If wideband signals are used for sensing, then sensing range and resolution are improved, but signal overhead increases
Solution Approach 1:
The sensing process is divided into two stages with different bandwidth requirements. The first stage uses wideband signals to achieve broad sensing range and initial resolution for object detection. The second stage uses narrowband signals for refined sensing of already-detected objects. This segmentation allows the system to achieve high measurement precision where needed while reducing overall signal overhead by using lower bandwidth signals for the majority of the sensing process.
Solution Approach 2:
Instead of continuously using wideband signals for all sensing operations, the system applies wideband signals only partially - specifically for the initial detection phase where broad coverage is necessary. For the refined sensing phase, narrowband signals are sufficient, thereby reducing the total quantity of signaling resources consumed while maintaining necessary measurement precision.
3Object-affected harmful factors
If multi-static scenario is used with different TDD configurations, then interference is reduced, but coordination complexity between nodes increases
Solution Approach 1:
The sensing methodology is designed to be universally applicable across different TDD configurations and multi-static scenarios. The same two-stage sensing approach (wideband for rough sensing, narrowband for refined sensing) can be implemented regardless of the specific TDD configuration or node arrangement, thereby reducing coordination complexity while still achieving interference reduction through the inherent spatial separation of multi-static architectures.
4Quantity of substance
If narrowband signals are used for sensing, then signal overhead is reduced, but sensing accuracy decreases
Solution Approach 1:
The sensing process is segmented into two distinct stages, each optimized for its specific purpose. The first stage uses wideband signals to achieve adequate sensing accuracy for object detection and initial characterization. The second stage then employs narrowband signals for refined sensing of already-detected objects, where high accuracy is needed but the search space has already been reduced. This segmentation allows the system to maintain necessary sensing accuracy while significantly reducing overall signal overhead.
Solution Approach 2:
The wideband rough sensing stage performs preliminary detection and identification of objects of interest before the narrowband refined sensing stage begins. This preliminary action reduces the search space and identifies specific targets that require high-precision sensing, thereby allowing narrowband signals to be used more efficiently with reduced overhead while maintaining accuracy for the detected objects.
Data Source
AI summary
The disclosure relates to methods and nodes for handling sensing of an object in an environment served by a wireless communication network employing joint communication and sensing. A method (1000) by a first radio node comprises transmitting (1002) a first signal having a first parameter setting for detecting a property of the object using sensing and. upon reception of information on a delayed and/or distorted version of the first signal either transmitting (1005) a second signal having a second parameter setting for determining properties of the object using sensing or reporting (1006) information on the property of the object to a further node that causes transmission of the second signal having the second parameter setting for determining the properties of the object in the environment using sensing. The second parameter setting provides for sensing at higher resolution, in a wider range and/or with higher reliability than the first parameter setting.