Weighted Resource Sensing for Wireless Latency and Collision Trade-offs
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Solution Overview
Problem
Wireless communication systems face challenges in reducing latency and minimizing collisions during resource selection, as performing channel sensing before selecting resources increases latency, while refraining from sensing may increase collision likelihood.
Innovation Solution
A weighted decision process-based resource sensing method, where a wireless device adapts resource selection based on feedback from previous sensing occasions, selecting a sensing state with associated weights to determine which resources to sense and which to refrain from sensing, optimizing resource occupancy determinations for efficient communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If channel sensing is performed before resource selection, then collision likelihood is reduced, but latency increases
Solution Approach 1:
The patent applies dynamics by making the sensing behavior adaptive rather than static. The wireless device dynamically adjusts whether to perform channel sensing based on feedback from previous sensing occasions and a weighted decision process. This allows the system to switch between sensing and non-sensing modes optimally, reducing latency when sensing can be skipped while maintaining reliability when sensing is beneficial.
Solution Approach 2:
The patent implements feedback by using outcomes from previous sensing occasions to inform future sensing decisions. The weighted decision process incorporates historical sensing results to determine whether to sense channels in subsequent resource selection occasions. This feedback mechanism enables the system to learn from past experiences and optimize the balance between latency and collision avoidance.
2Loss of time
If channel sensing is refrained from to reduce latency, then latency is reduced, but collision likelihood increases
Solution Approach 1:
The system dynamically adjusts sensing behavior based on real-time conditions and historical feedback. Instead of always sensing or never sensing, the wireless device adapts its sensing strategy using a weighted decision process that considers previous sensing outcomes. This dynamic approach allows the system to minimize latency by skipping sensing when appropriate while maintaining reliability by sensing when conditions indicate higher collision risk.
Solution Approach 2:
The patent uses feedback from previous sensing occasions to guide future sensing decisions. The weighted decision process incorporates historical data about sensing outcomes to determine whether to perform channel sensing in subsequent resource selections. This feedback-driven approach enables the system to reduce latency by avoiding unnecessary sensing while preventing collisions by sensing when historical patterns indicate potential conflicts.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. For instance, a wireless device may receive, from a second wireless device, an indication of a set of resources associated with weighted selection of resource sensing. The wireless device may select a sensing state of a set of sensing states for the set of resources based on applying a respective weight to each sensing state of the set of sensing states. The wireless device may perform sensing over a first subset of the set of resources based on the selected sensing state and may communicate a message with a third wireless device based on respective occupancy state determinations for the set of resources, where the respective occupancy state determinations for the first subset are based on performing the sensing and the respective occupancy state determinations for a second subset of the set of resources are based on a predetermined occupancy state.