Ambient IoT Reader Thresholding for Single Device Addressing

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Solution Overview

Problem

Existing wireless communication systems face challenges in efficiently identifying the closest ambient Internet of Things (IoT) device to a reader without direct scanning, particularly in environments with multiple IoT devices, leading to increased power consumption and computation complexity.

Innovation Solution

A method involving a wireless communication device that broadcasts threshold signals, adjusts the threshold values based on received responses, and identifies the closest IoT device by refining the threshold until a single device responds, leveraging backscatter-based communication powered by a base station or user equipment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the reader device broadcasts signals to identify the closest IoT device, then the device can determine the nearest target, but multiple devices respond causing increased power consumption and computation complexity

Engineering Contradiction:
Improveidentification accuracyVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The reader device dynamically adjusts the signal threshold parameter in successive broadcasts. The threshold is increased after receiving responses from multiple devices, progressively filtering out distant devices and isolating the closest one. This dynamic parameter adjustment resolves the contradiction by adapting the identification process to the actual distribution of responding devices.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The identification process uses periodic signal broadcasts with increasing thresholds. Instead of a single broadcast, the system performs multiple periodic transmissions, each with a higher threshold value, systematically narrowing down the responding devices until only the closest one remains. This periodic approach with escalating parameters efficiently identifies the target while controlling energy consumption.

Inventive Principle:
Principle #19Periodic action

2Quantity of substance

If the reader device communicates with multiple IoT devices, then more devices can be detected, but computation complexity increases

Engineering Contradiction:
Improvenumber of detected devicesVSAvoidcomputation complexity
Core Design Contradiction:
Quantity of substanceVSDevice complexity

Solution Approach 1:

The identification process segments the detection task into multiple phases, each handling a subset of devices. By dividing the process into successive threshold-based filtering stages, the system manages the complexity of handling multiple devices through systematic segmentation rather than simultaneous processing of all devices.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system dynamically adjusts the threshold parameter to control the number of responding devices. By increasing the threshold after each round of responses, the system dynamically reduces the active device set, managing computation complexity through adaptive parameter control that balances detection quantity with processing load.

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If the reader device uses direct scanning to identify IoT devices, then accurate identification is achieved, but the process requires more power and time

Engineering Contradiction:
Improvedevice identification accuracyVSAvoididentification time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary filtering by broadcasting signals with increasing thresholds before final identification. This preliminary action of progressive threshold-based filtering eliminates distant devices early in the process, reducing the set of candidates that require detailed examination and thereby reducing overall identification time while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The identification process uses periodic broadcasts with escalating thresholds to systematically narrow down candidates. This periodic approach with increasing signal strength requirements efficiently eliminates non-target devices over time, achieving accurate identification faster than continuous scanning by using structured, periodic filtering.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20260010742A1Addressing a single ambient internet of things device
Publication Date: 2026.01.08 QUALCOMM INC
  • US20260010742A1 patent drawing
  • US20260010742A1 patent drawing
  • US20260010742A1 patent drawing

AI summary

Wireless communications systems, apparatuses, and methods are provided. A method of wireless communication performed by an ambient Internet of Things (IoT) devices may include receiving, from a first wireless communication device, a first signal. The ambient IoT device may be powered by energy transmitted by the first wireless communication device. The method may further include selecting, based on at least one of an energy conversion efficiency associated with the first signal or a communication link quality associated with the first wireless communication device, a second wireless communication device, and receiving, from the second wireless communication device, a second signal.