Hierarchical UE Partitioning for Low-Overhead Sensor Aggregation
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Solution Overview
Problem
Existing wireless communications systems face challenges in efficiently managing large signaling overheads and inaccuracies in sensor data sharing due to multicasting raw sensor data and aggregating features without aggregating raw data, particularly in perceptive wireless communications systems where UEs may experience occlusions.
Innovation Solution
Implementing hierarchical partitioning of UEs into disjoint sets with a lead UE to aggregate raw sensor data and feature extraction outputs, reducing signaling overheads and inaccuracies by designating one UE per set to manage data aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If raw sensor data is multicasted to multiple UEs, then data sharing completeness is improved, but signaling overhead increases
Solution Approach 1:
The patent segments UEs into disjoint sets with designated lead UEs. Each set independently aggregates sensor data from its members, dividing the overall data sharing task into parallel segments. This reduces total signaling overhead while maintaining data completeness through multiple aggregation points.
Solution Approach 2:
The patent merges sensor data from multiple UEs at the lead UE level within each set. The lead UE combines raw sensor data or feature extraction outputs from its group members, reducing the need for individual UE-to-network communications and lowering overall signaling overhead.
2Productivity
If feature extraction outputs are aggregated without raw sensor data aggregation, then processing efficiency is improved, but data aggregation accuracy deteriorates
Solution Approach 1:
The patent dynamically selects between aggregating raw sensor data versus feature extraction outputs based on set configuration and lead UE capabilities. This flexible approach allows the system to optimize between processing efficiency and aggregation accuracy depending on specific operational conditions.
Solution Approach 2:
The lead UE acts as an intermediary that performs feature extraction on aggregated raw sensor data from its set members. This intermediate processing step preserves accuracy by working with complete raw data locally, then transmitting only the extracted features, thereby maintaining accuracy while improving overall processing efficiency.
3Quantity of substance
If UEs are grouped into disjoint sets with lead UEs, then signaling overhead is reduced, but system complexity increases
Solution Approach 1:
The lead UE performs multiple functions including data aggregation, feature extraction, and coordination within its set. This multi-functionality consolidates complex operations into single designated UEs, reducing overall system complexity despite the introduction of hierarchical grouping.
Data Source
AI summary
Methods, systems, and devices for wireless communications are described. A network entity may partition one or more user equipments (UEs) within a target area into groups and assign one UE per set to be a lead UE to aggregate shared sensor data without large sidelink overhead from multicasting all sensor data or uplink signaling overhead from aggregating data at the network entity. For example, the network entity may transmit, and a UE may receive, a partition request message corresponding to a hierarchical partitioning scheme. The UE may transmit a partition request feedback message in response to the partition request message, which may include an indication of the availability of the UE to act as the lead UE. The UE may receive a partition assignment message from the network entity, which may include a partition between sets of UEs and an indication of the lead UE for the set of UEs.