Wireless Device Subset Selection for Low-Collision AIoT Access
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently selecting subsets of low-complexity and low-power AIoT devices for operations like inventory-taking or data writing, as selecting too many devices can lead to high collision probability and additional latency in random access procedures.
Innovation Solution
The system selects subsets of AIoT devices based on various device characteristics stored in their non-volatile memory, such as device identifiers, types, memory storage capabilities, and positioning capabilities, rather than relying solely on filter masks, allowing for flexible subset selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If too many AIoT devices are selected for random access procedures, then the throughput and efficiency of inventory-taking or data writing operations is improved, but the collision probability increases and additional latency is introduced
Solution Approach 1:
The patent segments the set of AIoT devices into multiple subsets based on stored device information (device identifiers, types, capabilities, etc.). Instead of selecting all devices simultaneously for random access, the system divides them into smaller groups and processes each subset separately. This segmentation reduces the collision probability within each subset while maintaining overall system throughput by parallelizing operations across multiple subsets.
2Productivity
If too many AIoT devices are selected for random access procedures, then the throughput and efficiency of inventory-taking or data writing operations is improved, but the latency in random access procedures increases
Solution Approach 1:
By segmenting devices into subsets processed in parallel, the system reduces the time each device waits for random access while maintaining high overall throughput. The parallel processing of multiple subsets eliminates the sequential bottleneck that would occur with large single groups.
Solution Approach 2:
The patent implements periodic action by organizing random access procedures into multiple rounds or phases, where different subsets are accessed in alternating time slots. This periodic structure allows the system to maintain continuous throughput while ensuring each subset receives timely access, preventing latency accumulation.
3Device complexity
If filter masks are used for device selection, then the selection process is simplified, but the flexibility in selecting subsets based on device characteristics is reduced
Solution Approach 1:
Instead of using filter masks to select devices (conventional approach), the patent inverts the approach by having devices self-identify through stored information and allowing the system to select subsets based on this self-provided data. This inversion maintains selection flexibility while reducing complexity, as devices automatically provide their characteristics without requiring complex filtering operations.
Solution Approach 2:
The patent implements self-service by having AIoT devices store and provide their own characteristic information (device identifiers, types, capabilities, positioning data) in non-volatile memory. This self-provided information enables flexible subset selection without requiring complex external filtering, as each device effectively serves its own selection criteria through its stored profile.
Data Source
AI summary
Various aspects of the present disclosure relate to selecting subsets of wireless devices. Subsets of wireless devices from a larger set of wireless devices are selected. A reader device performs a task (e.g., inventory taking, write command) serially with the subsets, e.g., first with the target wireless devices of a first subset, then afterwards with the target wireless devices of a second subset, and so forth. Various different information or data describing the wireless devices (e.g., characteristics of the wireless devices) can be stored in the wireless devices (e.g., in non-volatile memory) that allow subsets of wireless devices to be selected. Subsets of wireless devices can be selected based on any one or more of this information or data.