Trust-Aware 6G Task Assignment Using Smart Contracts
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Solution Overview
Problem
Existing 6G networks face challenges in efficiently allocating resources and ensuring trustworthiness in decentralized task assignment without centralized control, which is crucial for ultra-low latency and high reliability in applications like IoT and autonomous systems.
Innovation Solution
Implementing trust-aware mechanisms that incorporate trust evaluation into resource provisioning processes, using smart contracts and distributed ledger services to manage task assignments and executions, allowing for conditional acceptance, replacement, and migration of tasks based on trust criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If decentralized resource provisioning is implemented in 6G networks, then scalability and robustness are improved, but trust management complexity increases
Solution Approach 1:
The patent introduces a distributed ledger service as an intermediary layer between task requesters and resource providers. This mediator automatically records and verifies task assignments, resource allocations, and trust evaluations on an immutable ledger, eliminating the need for complex peer-to-peer trust negotiation while enabling scalable decentralized operation.
Solution Approach 2:
The patent transforms trust management from a complex qualitative assessment into quantifiable parameters stored on the distributed ledger. By representing trust relationships as structured data with specific attributes (trust scores, verification status, temporal validity), the system simplifies trust evaluation while maintaining scalability across numerous entities.
2Reliability
If trust evaluation criteria are incorporated into resource provisioning, then reliability is improved, but processing time increases
Solution Approach 1:
The patent performs trust evaluations and resource availability checks in advance, storing the results on the distributed ledger before actual task execution. By pre-validating trust criteria and caching evaluation outcomes, the system ensures reliability through thorough assessment while minimizing processing time during actual task assignment operations.
Solution Approach 2:
The patent implements continuous feedback loops where trust evaluations are updated based on past task performance recorded on the distributed ledger. This feedback mechanism allows the system to maintain high reliability through ongoing verification while reducing processing time by leveraging historical data and established trust patterns rather than re-evaluating from scratch.
3Extent of automation
If smart contracts are used for task assignment, then automation is improved, but system complexity increases
Solution Approach 1:
The patent divides the complex task assignment process into separate modular smart contracts, each handling specific functions such as trust verification, resource allocation, task execution monitoring, and payment settlement. This segmentation reduces individual contract complexity while maintaining high automation through coordinated execution of multiple specialized contracts on the distributed ledger.
4Productivity
If conditional task acceptance is implemented, then resource allocation efficiency is improved, but communication overhead increases
Solution Approach 1:
The patent enables resource providers to set their own conditional acceptance criteria and automatically evaluate incoming task requests against these pre-defined conditions. The distributed ledger automatically records acceptance decisions and updates resource availability status without requiring manual communication between parties. This self-service approach improves resource allocation efficiency while minimizing communication overhead by eliminating redundant verification exchanges.
Data Source
AI summary
In some implementations, a first entity may receive, from a second entity, a task assignment request including one or more of: an identifier of a first task, identifier of the first and second entity, execution instructions, set of trust evaluation criteria, a first smart contract, a specified trust level, a drafted first smart contract, and a preferred. The first entity may analyze requirements for executing the first task, decide on resource requirements for executing the first task and accept, conditionally accept, or reject the request based on the resource requirements and the set of trust evaluation criteria. The first entity may send a modified first smart contract when the first smart contract is conditionally accepted. The first entity may receive a notification that the first smart contract or modified first smart contract is recorded in a distributed ledger system via a DLS and may execute a first task accepted/conditionally accepted.


