RFID Tags for RIS Backscatter Channel Training

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Solution Overview

Problem

Existing RIS devices face inefficiencies in training methods, requiring significant power consumption and processing power, which limits their adoption and efficiency in wireless communication systems.

Innovation Solution

Incorporating radio frequency identification (RFID) tags into RIS devices for backscatter communication to facilitate channel measurement and estimation, reducing computational and power requirements, enabling passive or near-passive RIS devices.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional training methods are used for RIS devices, then channel measurement and estimation can be performed, but power consumption and processing requirements increase significantly

Engineering Contradiction:
Improvechannel measurement and estimationVSAvoidpower consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent introduces RFID tags as intermediary devices attached to RIS elements to perform channel measurement and estimation. These passive or semi-passive RFID tags reflect signals back to the base station, enabling channel characterization without requiring the RIS elements to actively transmit or process signals, thus dramatically reducing power consumption while maintaining measurement capability

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent replaces the traditional active electronic training mechanism (where RIS elements electronically switch and process signals) with a passive optical/electromagnetic reflection mechanism using RFID tags. The RFID tags passively reflect incident signals, substituting complex electronic processing with simpler electromagnetic reflection, thereby reducing both power consumption and processing requirements

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If traditional training methods are used for RIS devices, then channel measurement can be achieved, but processing power and time requirements increase

Engineering Contradiction:
Improvechannel measurementVSAvoidprocessing power and time
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

By introducing RFID tags as intermediaries, the patent shifts the channel measurement function from the complex RIS controller to simple passive RFID tags. The base station performs the measurement by analyzing reflected signals from the RFID tags, eliminating the need for complex processing at the RIS device and reducing overall system processing time and power requirements

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The RFID tags perform channel measurement functions autonomously by passively reflecting signals and providing measurement information without requiring active control or processing from the RIS controller. This self-service approach reduces the processing burden on the RIS device and accelerates the overall training process

Inventive Principle:
Principle #25Self-service

3Productivity

If RIS devices are deployed with traditional power requirements, then communication optimization is possible, but device adoption is limited

Engineering Contradiction:
Improvecommunication optimizationVSAvoiddevice adoption
Core Design Contradiction:
ProductivityVSAdaptability or versatility

Solution Approach 1:

The patent uses RFID tags as intermediary measurement devices that enable communication optimization between base stations and RIS elements without requiring the RIS elements themselves to consume power. This intermediary approach allows RIS devices to be deployed with minimal or no power requirements, dramatically improving adaptability and facilitating wider adoption while maintaining communication optimization capabilities

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent employs inexpensive RFID tags as disposable or replaceable components attached to RIS elements. These low-cost RFID tags provide the necessary measurement functionality without requiring expensive, power-intensive active electronics in the RIS device, making the overall system more affordable and adaptable for widespread deployment

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enhances training efficiency and reduces power consumption, increasing the likelihood of RIS device adoption and improving wireless coverage by optimizing communication between wireless devices.

Implementation Method 1

conveying, by the RFID tag of the first wireless communications device to the second wireless communications device, a second signal using backscatter communication based on the first signal

Methodology Applied
Scientific EffectBackscatter communication: Reflection

Data Source

PatentUS20250309943A1Radio frequency identification tags for a reconfigurable intelligent surface
Publication Date: 2025.10.02 QUALCOMM INC
  • US20250309943A1 patent drawing
  • US20250309943A1 patent drawing
  • US20250309943A1 patent drawing

AI summary

A reconfigurable intelligent surface (RIS) includes one or more radio frequency identification (RFID) tags. The one or more RFID tags may perform functions of a controller of the RIS. The one or more RFID tags receive a reference signal from a wireless communications device. The RIS may process the received reference signal and the one or more RFID tags backscatter a response signal to the wireless communications device. The wireless communications device may also perform processing of the backscattered response. Processing includes measuring channels from the wireless communication to the RFID tags. Processing also includes estimating channels from the wireless communication to elements of the RIS. Based on the estimated channels, a beam matrix corresponding to optimized weights of the RIS elements is determined and transmitted to the RIS.