Data-aided Radar Sensing in Cellular Networks
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Solution Overview
Problem
Performing radar sensing tasks in cellular communication networks requires dedicated resources, increasing the resources needed for sensing and signaling, which is inefficient.
Innovation Solution
Implementing data-aided radar sensing solutions that enable radar sensing to be performed jointly with data and control communication, utilizing existing communication links for blockage and movement monitoring, by configuring time-frequency resources and sensing measurement types, and adjusting communication and sensing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated resources are allocated for radar sensing tasks, then sensing measurement precision is improved, but resource consumption increases
Solution Approach 1:
The patent combines radar sensing measurements with data reception operations by utilizing the same time-frequency resources. The receiver performs both data decoding and sensing measurements simultaneously on received signals, merging two previously separate functions into a single integrated process that shares hardware resources and processing capabilities.
Solution Approach 2:
The patent enables communication resources to serve dual purposes: both data transmission and radar sensing. By configuring the receiver to perform sensing measurements on received data signals, the system makes existing communication infrastructure multi-functional, eliminating the need for dedicated sensing resources while maintaining sensing capabilities.
2Productivity
If joint communication and sensing is implemented, then resource efficiency is improved, but device complexity increases
Solution Approach 1:
The patent segments the sensing measurement process into distinct configurable types (e.g., RSSI-based sensing, channel estimation-based sensing) that can be independently selected and configured. This modular approach allows the system to implement only the required sensing functionalities rather than requiring all possible sensing capabilities, thereby managing complexity while maintaining resource efficiency.
3Loss of time
If sensing measurements are performed during data reception, then time utilization is improved, but measurement precision may deteriorate
Solution Approach 1:
The patent introduces dynamic configuration of sensing measurement types based on signal conditions and requirements. The system can adaptively select between different sensing approaches (e.g., using received signal strength indicator for simple blockage detection or more complex channel estimation for precise mobility monitoring), allowing flexibility in balancing time efficiency and measurement precision according to actual operational needs.
Data Source
AI summary
Various aspects of the present disclosure relate to data-aided radar sensing. One apparatus is configured to receive a first configuration comprising an indication of at least one set of time-frequency resources for sensing, receive a second configuration comprising an indication of a type of sensing to perform on the at least one set of time-frequency resources, perform sensing according to the first configuration and the second configuration, and transmit a report that indicates one or more sensing measurements based on the performed sensing.