Device Capability Transfer for Shared Group Task Performance

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Conventional technologies face challenges in efficiently sharing compute, communication, and power capabilities among devices in group-based experiences such as social, gaming, and immersive environments, leading to suboptimal performance.

Innovation Solution

An ecosystem of devices task improvement system that includes a provisioning component to create device groups and a capability transfer component to share device capabilities via wireless communication protocols, utilizing machine learning to optimize performance based on device ranks and capabilities.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If device capabilities are shared among devices in an ecosystem, then the performance of group tasks is improved, but the device complexity increases

Engineering Contradiction:

Improveperformance of group tasksVSAvoiddevice complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent introduces a capability transfer component as an intermediary that manages the sharing of device capabilities between devices in an ecosystem. This intermediary handles the complexity of capability detection, transfer, and allocation, allowing individual devices to benefit from enhanced group task performance without each device needing to implement complex sharing logic independently.

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system creates a universal device group where multiple devices can share various capabilities (compute, communication, power, memory) through a standardized interface. This multi-functional approach allows different device types to contribute their specific capabilities to the ecosystem while following common protocols, improving group task performance without requiring each device to be specially configured for every possible capability sharing scenario.

Inventive Principle:

Principle #6Universality (Multi-functionality)

2Productivity

If device capabilities are dynamically allocated among devices, then the efficiency of resource utilization is improved, but the control complexity increases

Engineering Contradiction:

Improveefficiency of resource utilizationVSAvoidcontrol complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements dynamic capability allocation where the capability transfer component continuously monitors device capabilities and task requirements, automatically adjusting the distribution of compute, communication, power, and memory resources. This dynamic approach optimizes resource utilization efficiency while the automated nature of the system manages control complexity by using algorithms to make real-time allocation decisions without requiring manual intervention.

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system incorporates feedback mechanisms where the capability transfer component detects current device capabilities and task performance, then uses this information to optimize capability allocation. This closed-loop control improves resource utilization efficiency by continuously adapting to changing conditions while managing control complexity through automated feedback-based decision-making rather than static pre-configured rules.

Inventive Principle:

Principle #23Feedback

3Productivity

If machine learning is used to optimize capability allocation, then the performance optimization is improved, but the computational overhead increases

Engineering Contradiction:

Improveperformance optimizationVSAvoidcomputational overhead

Core Design Contradiction:

ProductivityVSUse of energy by moving object

Solution Approach 1:

The patent applies machine learning selectively to optimize capability allocation rather than using it for all system operations. The capability transfer component uses machine learning algorithms to analyze capability patterns and make optimization decisions, achieving high performance optimization while limiting computational overhead by applying ML only where most beneficial and using lighter-weight algorithms for routine capability transfer operations.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS12413958B2Detection and transfer of device capabilities between devices of an ecosystem of devices to facilitate improvement of a performance of a defined group task of the ecosystem of devices

Publication Date: 2025.09.09 AT&T INTELLECTUAL PROPERTY I L P

AI summary

Detection and transfer of device capabilities between devices of an ecosystem of devices to facilitate improvement of a performance of a defined group task of the ecosystem of devices is presented herein. An ecosystem of devices task improvement system creates the ecosystem of devices comprising respective devices to facilitate sharing respective device capabilities of the respective devices with the ecosystem of devices to increase a performance, via the ecosystem of devices, of the defined group task; in response to determining the defined group task to be performed by the ecosystem of devices, determines the respective device capabilities, and shares a portion of the respective device capabilities that corresponds to a first device of the respective devices with a second device of the respective devices to facilitate increasing the performance of the defined group task.