State-Based Sensing Procedure for Sidelink Resource Availability
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently sensing the availability of resources in sidelink networks, particularly for devices with limited power resources, such as MTC and NB-IoT UEs, which can lead to power consumption issues and potential contentions in sidelink communications.
Innovation Solution
Implementing a state-based sensing procedure that determines an optimized sensing window size, number of slots, and RSRP threshold based on state parameters, allowing UEs to accurately and reliably sense resource availability without excessive power consumption, thereby avoiding contentions and optimizing network resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional sensing procedures are used in sidelink networks, then resource availability can be detected, but power consumption increases and contentions occur
Solution Approach 1:
The sensing procedure is made dynamic by determining a state based on state parameters (such as traffic load, channel conditions) and adapting the sensing window size, number of slots, and RSRP threshold according to the determined state. This allows the system to optimize power consumption while maintaining reliable resource availability detection, as the sensing intensity varies dynamically rather than using fixed traditional parameters
Solution Approach 2:
The invention changes key sensing parameters (sensing window size, number of slots, RSRP threshold) based on the determined state and state parameters. By adjusting these parameters dynamically according to network conditions, the system achieves accurate resource detection with optimized power consumption, resolving the contradiction between measurement precision and energy usage
2Measurement precision
If traditional sensing procedures are used in sidelink networks, then resource sensing can be performed, but contentions arise between UEs
Solution Approach 1:
The system implements feedback mechanisms by determining a state based on state parameters that reflect current network conditions. This state information feeds back into the sensing procedure configuration, allowing UEs to adapt their sensing behavior to avoid contentions. The feedback loop ensures that resource sensing is coordinated across the network, improving both accuracy and reliability
Solution Approach 2:
The sensing procedure adapts dynamically based on the determined state, adjusting the sensing window size, number of slots, and RSRP threshold to match current traffic conditions and channel state. This dynamic adaptation prevents rigid sensing patterns that cause contentions, allowing UEs to coordinate resource selection more effectively and reduce conflicts
Data Source
AI summary
Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may determine a state associated with a sensing procedure, for sensing availability of a resource, based at least in part on one or more state parameters. The UE may perform the sensing procedure to sense availability of the resource based at least in part on determining the state. Numerous other aspects are provided.