Communication-Assisted Sensing Using Data as Pilot Signals
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Solution Overview
Problem
Existing multi-static sensing schemes face challenges due to high overhead caused by dedicated sensing pilot signals and insufficient processing gain from reused communication pilot signals, limiting sensing performance and efficiency.
Innovation Solution
Utilize communication data as sensing pilot signals, enabling efficient sensing by reducing overhead and increasing processing gain through FFT-based reception, and allowing for simple sensing algorithms without additional beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated sensing pilot signals are used in multi-static sensing, then sensing performance is improved, but overhead increases
Solution Approach 1:
The patent applies multi-functionality by enabling communication signals to serve dual purposes: both communication and sensing. The gNodeB transmits communication signals that simultaneously function as sensing pilot signals, allowing the same signal to fulfill both communication and sensing functions without requiring separate dedicated sensing signals, thus reducing overhead while maintaining sensing performance
Solution Approach 2:
The patent merges communication signals and sensing signals into a single integrated signal transmission. The gNodeB combines communication data symbols with sensing functionality, transmitting communication signals that also serve as sensing pilot signals. This merging eliminates the need for separate sensing pilot transmissions, reducing overall system overhead while preserving sensing capabilities
2Quantity of substance
If communication pilot signals are reused as sensing pilot signals, then overhead is reduced, but processing gain is insufficient
Solution Approach 1:
The patent applies parameter changes by modifying the characteristics of communication signals to enhance their suitability for sensing. The gNodeB configures communication signals with specific parameters including cyclic prefix length, subcarrier spacing, and signal power levels that are optimized for sensing performance. These parameter adjustments enable communication signals to provide sufficient processing gain when reused for sensing purposes
Solution Approach 2:
The patent implements dynamics by enabling adaptive configuration of communication signals based on sensing requirements. The gNodeB dynamically adjusts signal parameters such as transmission power, cyclic prefix duration, and resource allocation to optimize the balance between communication efficiency and sensing performance. This dynamic adaptation allows the system to maintain sufficient processing gain while reducing overhead
3Ease of operation
If mono-static sensing is used, then full duplex capability is required, but sensing scope is limited
Solution Approach 1:
The patent applies multi-functionality by enabling network nodes to perform both transmission and reception functions for sensing purposes. The gNodeB acts as both a transmitting node and a receiving node, facilitating multi-static sensing capabilities. This allows the system to expand sensing scope beyond the limitations of mono-static sensing while managing duplex requirements through coordinated node operations
Data Source
AI summary
Upon learning of a device's sensing capability, a network node may transmit, to the device, a sensing report configuration. The network node may transmit, to the device, a definition for a sensing region of a communication scheduling region. The network node may further transmit, to the device, a definition for a sensing feedback report channel. After transmitting, to the device, scheduled data transmissions, the network node may receive, from the device over the sensing feedback report channel, a sensing report based on processing those scheduled data transmissions that have been received, by the device, in the sensing region.