Joint RF Sensing Resource Allocation for Spectral Efficiency
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Solution Overview
Problem
Existing wireless communication systems struggle to efficiently allocate resources for both communications and RF sensing due to separate consideration of performance metrics for each, leading to suboptimal utilization of frequency bands and potential overload in either system.
Innovation Solution
Implement systems and techniques for joint resource allocation that dynamically adjust sensing resources based on measurement accuracy, allowing for flexible use of resources between communications and RF sensing to enhance spectral efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If separate resource allocation is used for communications and RF sensing, then each system can be optimized independently, but spectral efficiency is reduced and system overload occurs
Solution Approach 1:
The patent combines communications and RF sensing into a unified resource allocation framework. The network entity jointly manages resource allocation for both functions, allowing dynamic sharing of spectral resources. This merging enables the system to achieve both reliable communications and effective sensing while improving overall spectral efficiency by eliminating the inefficiencies of separate allocation systems.
2Measurement precision
If more sensing resources are allocated, then measurement accuracy improves, but communications resources decrease
Solution Approach 1:
The patent implements dynamic resource allocation where the network entity continuously adjusts the distribution of sensing and communications resources based on real-time conditions. The radar receiver reports sensing measurement accuracy to the network entity, which then dynamically modifies resource allocation. This dynamic approach allows the system to optimize measurement accuracy when needed while preserving communications resources during normal operation, rather than using a fixed allocation that would constantly compromise one function for the other.
Solution Approach 2:
The system changes allocation parameters (resource distribution) based on the measured sensing accuracy requirements. When measurement precision needs to be improved, the network entity increases sensing resources; when communications performance is prioritized, sensing resources are reduced. This parameter adjustment mechanism enables flexible trade-offs between measurement precision and communications resource availability.
3Productivity
If more communications resources are allocated, then communications performance improves, but sensing measurement accuracy decreases
Solution Approach 1:
The patent implements a feedback mechanism where the radar receiver measures sensing accuracy and reports it to the network entity. Based on this feedback, the network entity adjusts resource allocation to maintain both communications performance and sensing accuracy. This closed-loop control allows the system to automatically compensate for resource allocation imbalances, ensuring that communications performance is optimized while sensing accuracy remains sufficient for the application requirements.
Data Source
AI summary
Systems and techniques for wireless communications are provided, including resource allocation for joint communications and RF sensing of objects. For example, a radar receiver (or component thereof) may determine a sensing measurement accuracy of the radar receiver based on one or more measurements associated with at least one target. The radar receiver (or component thereof) may transmit, based on the sensing measurement accuracy, a message to a network entity. The message may include an indication to modify an allocation of sensing resources associated with the radar receiver for communications data. The network entity (or component thereof) may receive the message from the radar receiver and may determine at least a portion of the sensing resources for the communications data. The radar receiver (or component thereof) may receive, from the network entity, resource allocation signaling for the communications data based on the indication to modify the allocation of sensing resources.