Integrated Sensing-Communication Precoding for Sensing-Data Balance
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Solution Overview
Problem
Existing ISAC systems face challenges in balancing the trade-off between sensing and communication, particularly in achieving high-accuracy sensing while providing satisfactory data transmission services, due to resource sharing between the two functions.
Innovation Solution
The ISAC system processes signals for sensing and communication at antenna arrays based on explicit or implicit signaling, determining optimal precoders to meet sensing requirements and ensure effective data transmission by quantizing sensing parameters and using precoding techniques to manage interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources (time, frequency, power) are shared between sensing and communication, then spectrum efficiency is improved and hardware cost is reduced, but the trade-off between sensing accuracy and communication performance deteriorates
Solution Approach 1:
The patent segments the resource allocation by dividing time-frequency resources into distinct sensing resources and communication resources. The network device determines sensing requirements separately from communication requirements, and allocates precoders specifically for sensing signals independent of communication signals. This segmentation allows each function to have dedicated resources while still achieving overall system efficiency.
Solution Approach 2:
The patent changes key parameters including determining sensing requirements based on radar waveform distortion metrics, adjusting precoder selection based on sensing performance criteria, and modifying resource allocation parameters to prioritize sensing accuracy when sensing requirements are stringent. These parameter changes enable dynamic balancing between sensing and communication performance.
2Measurement precision
If sensing requirements are prioritized (e.g., achieving 3-D localization accuracy of less than 1 meter), then sensing accuracy is improved, but data transmission services to users deteriorate
Solution Approach 1:
The patent implements dynamic resource allocation where the network device continuously determines sensing requirements and adjusts the allocation of time-frequency resources and precoders between sensing and communication based on current sensing accuracy needs. When sensing accuracy requirements are high, the system dynamically shifts more resources to sensing while maintaining acceptable communication service, and vice versa when sensing requirements are lower.
Solution Approach 2:
The system employs feedback mechanisms where the network device evaluates sensing performance based on determined sensing requirements and adjusts subsequent resource allocation and precoder selection accordingly. This feedback loop ensures that sensing accuracy targets are met while minimizing impact on communication services through iterative optimization.
Data Source
AI summary
In one embodiment, a method includes determining sensing requirements for a sensing functionality associated with a first electronic device based on first signals from one or more second electronic devices, determining channel state information for a communication functionality associated with the first electronic device based on second signals from one or more of the second electronic devices, generating codebooks based on one or more of the sensing requirements or the channel state information, determining a sensing precoder and a communication precoder based on one or more of the codebooks, transmitting a sensing signal and a communication signal from the first electronic device, wherein the sensing signal is generated based on the sensing precoder and the communication signal is generated based on the communication precoder.