Autonomous Tag Detection in 5G NR Ambient IoT
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Solution Overview
Problem
In 5G NR systems, discovering passive IoT devices is challenging due to their energy-harvesting nature and the variability of the wireless environment, leading to interference with normal communication in cells and neighbor cells during tag illumination, which affects spectral efficiency and increases detection latency.
Innovation Solution
The base station configures candidate activators and readers to autonomously select time-frequency resources for tag detection, allowing them to trigger and finalize the detection process without base station coordination, reducing interference and improving spectral efficiency and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If base station coordinates tag detection continuously, then detection reliability is improved, but detection latency increases and spectral efficiency decreases
Solution Approach 1:
The base station performs preliminary configuration of candidate activators and readers with detection parameters and resource pools before actual tag detection. This preliminary setup enables UEs to autonomously execute detection without continuous coordination, reducing latency while maintaining reliability through pre-validated configurations.
Solution Approach 2:
Candidate activators and readers (UEs) autonomously select time-frequency resources and execute tag detection based on pre-configured parameters. This self-service mechanism eliminates continuous base station coordination overhead, reducing detection latency and improving spectral efficiency while maintaining detection reliability through configured protocols.
2Reliability
If base station coordinates tag detection continuously, then detection reliability is improved, but spectral efficiency decreases
Solution Approach 1:
Candidate activators and readers autonomously select time-frequency resources and execute tag detection based on pre-configured parameters from the base station. This self-service mechanism eliminates continuous coordination overhead, allowing more efficient spectrum utilization and improving spectral efficiency while maintaining detection reliability through configured protocols.
Solution Approach 2:
The detection process is segmented into configuration phase (base station) and execution phase (autonomous UEs). This segmentation separates coordination overhead from actual detection operations, allowing parallel execution of multiple detections without centralized coordination, thereby improving spectral efficiency.
3Productivity
If autonomous resource selection is implemented, then spectral efficiency is improved and latency is reduced, but interference with normal communication increases
Solution Approach 1:
The base station acts as an intermediary by configuring resource pools and activation conditions that coordinate autonomous UE operations with normal communication. This intermediary role ensures that autonomous resource selection does not create harmful interference, as resources are allocated considering ongoing communications.
Solution Approach 2:
The system dynamically adjusts resource allocation and activation conditions based on network state. Candidate activators and readers adapt their resource selection based on configured parameters that reflect current network conditions, allowing autonomous operation to coexist with normal communication while minimizing interference.
Data Source
AI summary
Systems, methods, apparatuses, and computer program products for providing an NR protocol for UE-based tag detection that reduces the interference to other ongoing NR traffic while minimizing the gNB coordination overhead. One method may include receiving (402a) a conditional activation configuration from a network entity configured to activate an ambient device; transmitting (407) an activation signal to the ambient device according to at least one activation rule comprised in the activation configuration on at least one candidate resource that satisfying at least one measurement test condition; and reporting (408) to the network entity at least one resource index that satisfies the at least one measurement test condition and at least one activation rule.