Ambient IoT Device Selection via Adaptive Identifier Masks
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Solution Overview
Problem
The limited message size of the reader-to-device (R2D) messages in wireless communications systems for ambient Internet of Things (AIoT) devices, due to their battery-less nature and energy harvesting capabilities, poses challenges in accommodating the size of identifier filter masks, leading to inefficiencies and potential message segmentation.
Innovation Solution
A RAN node and/or network function adapt the size of the identifier filter mask based on the limitations of the AIoT radio interface, receiving and transmitting updated masks to ensure compatibility with message size constraints, thereby avoiding complex segmentation procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the identifier filter mask size is increased to accommodate more AIoT devices, then the device selection capability is improved, but the message size exceeds the R2D message limit
Solution Approach 1:
The identifier filter mask is divided into multiple segments or parts that can be transmitted separately. Instead of sending the complete large-sized mask in a single R2D message, the system breaks it down into smaller chunks that fit within the message size limits, transmits them in sequence, and reassembles them at the receiving end to achieve both large coverage and message size compliance
Solution Approach 2:
The solution moves from a single-dimension approach (one large message) to a multi-dimensional approach by utilizing multiple message transmissions across different time slots or message sequences. The identifier filter mask is distributed across multiple R2D messages, effectively using the time dimension to accommodate the large data size within individual message constraints
2Quantity of substance
If message segmentation is used to fit the identifier filter mask within R2D message limits, then the message size constraint is satisfied, but the system complexity increases
Solution Approach 1:
The system implements self-service mechanisms where the RAN node automatically manages the segmentation and reassembly processes without requiring complex external coordination. The node autonomously determines optimal segmentation points, manages message sequencing, and handles reassembly, reducing the need for complex external control procedures and simplifying the overall system architecture
Solution Approach 2:
The system dynamically adjusts parameters such as message size, segmentation granularity, and transmission timing based on network conditions and device capabilities. By changing these parameters adaptively, the system optimizes the segmentation process to minimize complexity while ensuring message size compliance, rather than using fixed complex segmentation rules
Data Source
AI summary
Various aspects of the present disclosure relate to a radio access network (RAN) node and/or associated network function to adapt the size of an ID filter mask based on limitations of an ambient Internet of Things (AIoT) radio interface at the time of a requested AIoT operation (e.g., an inventory procedure). For example, the RAN node may receive an ID filter mask within a request message, transmit assistance information back to a requesting function that includes an indication of an allowable size for the ID filter mask, and receive an updated, modified, or new ID filter mask having an allowable size for the AIoT radio interface.