Bistatic ISAC Signaling for Sensing Communication Integration
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Solution Overview
Problem
Existing wireless communication systems struggle to effectively integrate sensing and communication operations, which have different sets of use cases and requirements, hindering the implementation of Integrated Sensing and Communication (ISAC) technologies.
Innovation Solution
The development of system architecture and higher-layer procedures for bistatic and multi-static sensing in cellular systems, along with signaling messages for FR1 and FR2 carriers, to enable efficient ISAC implementation by leveraging strengths of wireless sensing technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensing and communication operations are integrated using existing wireless communication systems, then ISAC functionality is enabled, but the different use cases and requirements of sensing and communication operations cannot be effectively addressed
Solution Approach 1:
The patent segments the sensing and communication operations into distinct phases within a frame structure. Sensing operations use dedicated sensing bursts with specific signal types (e.g., FMCW, chirp signals) while communication operations use standard communication signals. This segmentation allows each operation type to be optimized independently while being coordinated through a unified frame structure, resolving the contradiction between enabling ISAC functionality and managing system complexity.
Solution Approach 2:
The patent implements a universal frame structure that can accommodate both sensing and communication operations. The same wireless communication infrastructure is used to perform multiple functions: transmitting sensing signals for spatial location detection, transmitting communication signals for data transmission, and coordinating these operations through standardized signaling procedures. This multi-functionality approach enables ISAC while leveraging existing infrastructure.
2Measurement precision
If sensing signal characteristics are optimized for sensing operations, then sensing accuracy is improved, but communication performance metrics (data-rate, latency, reliability) deteriorate
Solution Approach 1:
The patent employs periodic sensing bursts within a structured frame format, where sensing operations are performed in dedicated time slots followed by communication operations. The frame structure includes periodic sensing bursts with specific signal characteristics optimized for sensing (e.g., long duration, specific bandwidth), while communication operations occur in separate time slots with characteristics optimized for data transmission. This periodic separation allows each operation type to use optimized signal characteristics without interfering with the other, resolving the contradiction between sensing accuracy and communication performance.
3Measurement precision
If bandwidth is increased to improve spatial location resolution, then measurement precision is improved, but system complexity and resource requirements increase
Solution Approach 1:
The patent performs preliminary configuration of sensing parameters through higher-layer signaling (RRC signaling) before actual sensing operations. The network configures sensing bandwidth, frequency offsets, and other parameters in advance based on the specific sensing application requirements. This preliminary action allows the system to allocate appropriate bandwidth resources for the required spatial resolution without dynamically adjusting complex parameters during operation, thereby reducing real-time system complexity while maintaining the needed measurement precision.
Data Source
AI summary
A system and a method are disclosed for ISAC. A method performed by a sensing initiator includes performing a sensing session setup to exchange sensing capability information with sensing responders for a sensing application; performing a sensing measurement setup with a sensing responder identified in the sensing session setup; and performing sensing measurements with the sensing responder during a sensing burst based on the sensing measurement setup. The sensing burst includes one or more sensing measurement instances. A sensing measurement instance among the one or more sensing measurement instances includes a polling phase, a reporting phase, and at least one of a DL sensing phase or a UL sensing phase.