Stationary Wireless Testbed Emulating Mobility via Dynamic Attenuation

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Solution Overview

Problem

Current wireless testbeds are limited in modeling dynamic connectivity and mobility patterns of mobile ad hoc networks, as they primarily use stationary devices for static connectivity testing, failing to adequately simulate the dynamic connectivity experienced by nodes in mobile ad hoc networks.

Innovation Solution

A method and apparatus that automatically model any given mobility pattern or connectivity dynamics using a stationary testbed by dynamically changing attenuation between wireless devices, allowing for real-time or non-real-time emulation of path loss matrices to simulate mobility and connectivity changes, utilizing a stack of attenuators controlled by dedicated computers to emulate the expected attenuation changes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If stationary devices are used in a testbed, then device complexity is reduced and ease of operation is improved, but the ability to model dynamic connectivity and mobility patterns deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidability to model dynamic connectivity
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent applies dynamics by making the attenuation values dynamically adjustable through automated control systems. While the physical testbed remains stationary, the attenuation between nodes can be changed in real-time to simulate mobility patterns and dynamic connectivity, allowing the system to adapt its characteristics without moving physical devices.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the attenuation parameter to simulate different connectivity conditions. By automatically adjusting attenuation values between nodes based on predefined mobility models or measured path loss matrices, the system can model various mobility scenarios and connectivity dynamics while keeping the physical infrastructure stationary.

Inventive Principle:
Principle #35Parameter changes

2Adaptability or versatility

If automated attenuation control is implemented to model mobility patterns, then adaptability to simulate dynamic connectivity is improved, but device complexity and control system requirements increase

Engineering Contradiction:
Improveability to model mobility patternsVSAvoidcontrol system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent uses preliminary action by pre-defining mobility models and path loss matrices before conducting tests. These pre-configured parameters guide the automated attenuation control system, reducing the need for complex real-time calculations and simplifying the control logic while still enabling accurate mobility pattern simulation.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent creates a simplified representation of mobility by copying the essential characteristics of dynamic networks into the stationary testbed through attenuation matrices. Instead of physically moving devices, the system copies the connectivity dynamics into the attenuation parameters, maintaining simulation accuracy while reducing physical complexity.

Inventive Principle:
Principle #26Copying

3Ease of operation

If manual connectivity changes are used in static testbeds, then ease of operation is maintained, but the realism and accuracy of mobility simulation deteriorates

Engineering Contradiction:
Improveease of operationVSAvoidaccuracy of mobility simulation
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent implements feedback by using measured path loss matrices to automatically adjust attenuation values. The system measures or calculates the expected signal characteristics and feeds this information back to the attenuation control system, which automatically configures the testbed to match real-world mobility conditions, improving simulation accuracy without requiring manual intervention.

Inventive Principle:
Principle #23Feedback

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

Enables comprehensive Quality Assurance by accurately modeling mobility patterns and connectivity dynamics, allowing for more realistic testing of mobile ad hoc networks, even with stationary devices, thereby improving the reliability and effectiveness of wireless network testing.

Implementation Method 1

manipulating the connectivity so that the desired network topology is obtained for running tests... automatically changing the attenuation on the wires between wireless devices... utilizing a stack of attenuators controlled by dedicated computers

Methodology Applied
Scientific EffectElectromagnetic absorption: Absorption (EM radiation)

Data Source

PatentUS11563644B2Method and apparatus for modeling mobility and dynamic connectivity on a stationary wireless testbed
Publication Date: 2023.01.24 GOTENNA INC
  • US11563644B2 patent drawing
  • US11563644B2 patent drawing

AI summary

A device, comprising a packet data interface port; a microcontroller, configured to control the packet data interface port, receive a input control signal through the packet data interface port, transmit a status report through the packet data interface port, and in dependence on the input control signal, produce an output control signal; and a radio frequency modification device, configured to modify a received radio frequency signal over a range selectively in dependence on the output control signal. A control processor, communicating through the packet data interface port with the microcontroller, may generate a plurality of the input control signals for a plurality of respective devices comprising the microcontroller and the radio frequency signal control device. The input control signals may be dynamically changed over time to emulate radio frequency conditions resulting from mobility of nodes in a mobile ad hoc radio frequency communication network.