AIoT Duty Cycle Alignment for Energy Storage and Collision Control
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently managing diverse AIoT devices with varying energy storage capabilities and charging times, leading to device outages and signal collisions due to the lack of tailored duty cycles.
Innovation Solution
Implementing a configuration message from a reader to AIoT devices that indicates different duty cycles based on device characteristics, such as energy storage size and type, to optimize device performance and reduce collisions by aligning resource occasions and managing uplink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single duty cycle is used for all AIoT devices, then device complexity is reduced, but device outages occur due to insufficient energy storage for devices with limited energy capacity
Solution Approach 1:
The patent segments AIoT devices into different groups based on their energy storage capabilities (e.g., devices with larger capacitors vs. devices with smaller capacitors). Each group is assigned a specific duty cycle tailored to its energy characteristics. This segmentation allows the system to manage diverse energy capacities without requiring a single complex configuration for all devices, thereby maintaining reliability while controlling complexity through structured categorization.
2Reliability
If duty cycles are tailored to each device's energy storage size, then device reliability is improved, but system complexity increases due to multiple configuration parameters
Solution Approach 1:
The patent applies local quality by configuring duty cycles according to the specific energy storage characteristics of each device group. Instead of applying a uniform configuration across all devices, the system tailors the duty cycle parameters (active time, sleep time, sampling intervals) to match the local energy capacity of each device category. This ensures optimal operation for each device type while maintaining manageable complexity through characteristic-based grouping.
Solution Approach 2:
The patent changes key operational parameters (duty cycle ratio, active time duration, sleep time duration, sampling frequency) based on device energy storage characteristics. Devices with larger energy storage are assigned longer active times and higher sampling rates, while devices with smaller storage receive shorter duty cycles. This parameter adaptation allows the system to optimize reliability for each device type without requiring fundamentally different system architectures.
3Productivity
If AIoT devices transmit during overlapping time periods, then resource utilization is maximized, but signal collisions occur reducing communication reliability
Solution Approach 1:
The patent implements periodic action by organizing device transmissions into structured inventory rounds with defined phases (announcement phase, data collection phase, acknowledgment phase). Within each round, devices transmit during specific time windows allocated to their group. This periodic structure allows multiple device groups to share the channel systematically, maximizing resource utilization while preventing signal collisions through time-division multiplexing of transmission opportunities.
4Use of energy by moving object
If devices with larger energy storage have longer active times, then energy efficiency is improved, but timing synchronization becomes more complex across device groups
Solution Approach 1:
The patent applies preliminary action by having the reader device first transmit an announcement message at the beginning of each inventory round that contains timing information and duty cycle parameters for all device groups. Devices use this advance information to synchronize their active periods and transmission timing before actual data exchange begins. This preliminary synchronization step simplifies the timing coordination complexity, allowing devices with different energy capacities and active time durations to operate harmoniously without requiring complex real-time synchronization mechanisms.
Data Source
AI summary
Various aspects of the present disclosure relate to an ambient Internet of things (AIoT) device reader with at least one memory and at least one processor coupled with the at least one memory and configured to cause the reader to transmit a configuration to at least one AIoT device, the configuration indicating a duty cycle associated with a at least one characteristic of the at least one AIoT device, and receive, within an inventory round, an inventory message from the at least one AIoT device having the at least one characteristic in a random access channel (RACH) occasion of the duty cycle.