Sensing Capability Reporting for Wireless UEs
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Solution Overview
Problem
In wireless communications, user equipment (UEs) face challenges in maintaining situational awareness through sensor sharing, leading to high power consumption and potential unreliable communications due to reliance on either a large quantity of sensors or a subset of sensors, which can result in decreased situational awareness or increased power usage.
Innovation Solution
A method where a base station requests sensing capability information from UEs, selectively receives sensor data based on this information, and requests sensing measurement reports from UEs with valuable sensor capabilities, allowing for efficient sensor sharing while reducing power consumption by only requesting data when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UEs rely on a large quantity of sensors for situational awareness, then sensing coverage and reliability are improved, but power consumption increases
Solution Approach 1:
The patent combines sensor capabilities across multiple UEs by having the first UE collect and report sensing capability information from multiple second UEs to the base station. This merging allows the system to leverage the collective sensing power of multiple devices, achieving reliable situational awareness without requiring each individual UE to have extensive sensor arrays, thereby reducing per-UE power consumption while maintaining overall system reliability.
2Use of energy by moving object
If UEs use a subset of sensors to reduce power consumption, then energy usage decreases, but situational awareness deteriorates
Solution Approach 1:
The patent implements a multi-functional sensing system where the first UE performs multiple roles: it senses the environment with its own sensors, collects sensing capability information from multiple second UEs, selects appropriate sensors from the aggregated capabilities, and reports to the base station. This universal approach allows the system to dynamically adapt sensor usage based on requirements, achieving reliable situational awareness through coordinated multi-UE sensing rather than relying on any single UE to have all necessary sensors.
3Measurement precision
If the base station requests sensing data from all UEs, then measurement accuracy is improved, but communication overhead and processing complexity increase
Solution Approach 1:
The patent applies local quality by having the first UE perform localized selection of sensing capabilities from the set of second UEs based on specific criteria. Instead of uniformly processing data from all UEs, the system selectively identifies and reports sensing capability information from relevant second UEs that best meet the sensing requirements. This localized selection approach maintains measurement precision by focusing on the most appropriate sensors while reducing communication overhead and processing complexity by eliminating unnecessary data transmission and analysis.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A base station may transmit a request for a first user equipment (UE) to provide sensing capability information associated with UEs other than the first UE (e.g., an indication of one or more sensors associated with the corresponding UE, an orientation of the corresponding UE, a field of view associated with the corresponding UE). Additionally, the first UE may receive, from each of a set of second UEs, indications of the sensing capability information associated with the corresponding second UEs. Based on the sensing capability information indicated for each of the set of second UEs, the first UE select a subset of second UEs and transmit an indication of the sensing capability information associated with the subset of second UEs to the base station.


