Cooperative Sensing Data Processing for 6G Measurement Precision
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Solution Overview
Problem
The challenge of improving sensing performance in future mobile communication systems, particularly in beyond fifth-generation (B5G) and sixth-generation (6G) systems, is urgent due to the deployment of high-frequency bands and large bandwidths, which require enhanced resolution and precision in sensing capabilities.
Innovation Solution
A sensing processing method and apparatus that involves cooperative sensing among multiple devices, where a first device receives and processes sensing measurement quantities from multiple second devices to obtain improved results, leveraging integrated communication and sensing systems to enhance overall sensing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cooperative sensing is implemented among multiple devices, then sensing performance and resolution are improved, but device complexity and system coordination requirements increase
Solution Approach 1:
The sensing system is segmented into multiple independent sensing devices (first device, second devices, third device) that perform sensing measurements separately. Each device independently measures sensing quantities and transmits results to a processing device, dividing the complex sensing task into simpler individual operations while maintaining overall system precision through aggregation of results.
Solution Approach 2:
Multiple sensing measurement results from different devices are merged and processed by a processing device to generate final sensing information. The processing device receives first results from at least one second device and performs processing to obtain second results, combining data from multiple sources to improve overall sensing performance while managing complexity through centralized processing.
2Measurement precision
If multiple devices participate in cooperative sensing, then sensing accuracy is improved, but information processing load and data transmission requirements increase
Solution Approach 1:
Only essential sensing measurement quantities are extracted and transmitted from second devices to the processing device. The first result includes specific sensing measurement quantities obtained by measuring a first signal, filtering out unnecessary data while maintaining the critical information needed for accurate sensing, thus reducing information processing load.
Solution Approach 2:
The processing device acts as an intermediary that receives first results from second devices and generates second results. This intermediary structure consolidates and processes information centrally, managing the data transmission and processing load by having a dedicated processing node that coordinates information flow between sensing devices and the final output.
Data Source
AI summary
A sensing processing method and apparatus, a communication device, and a readable storage medium are provided. The method includes: receiving, by a first device, a first result sent by at least one second device, where the first result includes a sensing measurement quantity obtained by the second device by measuring a first signal, from a third device, used for a sensing service. The method further includes performing, by the first device, first processing on at least two first results, to obtain a second result.