Wireless Network Blockchain Offloading via ML Edge Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Blockchain technologies, particularly those using Proof-of-Work (POW) consensus mechanisms, are resource-intensive, requiring high-powered servers that consume significant electrical power and space, making widespread application infeasible.
Innovation Solution
A Blockchain Service Repository Function (BCSRF) within a wireless telecommunication network dynamically allocates blockchain operations to various devices using machine learning (ML) to optimize computational resource usage, leveraging heterogenous computing resources across the network, including core network servers, base stations, and user devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If high-powered servers are used to perform computationally-intensive blockchain operations, then blockchain verification and consensus are achieved, but energy consumption and hardware requirements increase significantly
Solution Approach 1:
The patent segments the computationally-intensive blockchain operations into two distinct phases: (1) computationally-light tasks such as transaction validation and block assembly performed by mobile devices, and (2) computationally-intensive tasks such as cryptographic hash calculations and consensus verification performed by edge servers. This segmentation allows mobile devices to participate in blockchain operations without requiring high energy consumption, while edge servers handle the heavy computational load efficiently.
Solution Approach 2:
The patent introduces edge servers as intermediary components between mobile devices and the blockchain network. These edge servers act as mediators that receive computationally-intensive operations from mobile devices, perform the heavy cryptographic calculations and consensus verification, then return results to the mobile devices. This intermediary approach enables mobile devices to contribute to blockchain operations without directly consuming high energy, thus resolving the contradiction between reliability and energy consumption.
2Productivity
If dedicated high-processing servers are deployed for blockchain operations, then computational capability is sufficient, but device complexity and infrastructure requirements increase
Solution Approach 1:
The patent makes edge servers universal by enabling them to perform multiple functions: (1) hosting blockchain nodes for consensus participation, (2) providing computational resources for cryptographic operations, (3) offering storage capacity for blockchain data, and (4) serving as communication intermediaries for mobile devices. This multi-functionality allows a single edge server infrastructure to handle diverse blockchain operational requirements, reducing the need for specialized dedicated hardware for each function and thereby decreasing overall device complexity.
Solution Approach 2:
The patent transitions the blockchain infrastructure from a centralized dimension (single powerful server) to a distributed multi-dimensional architecture where edge servers are distributed across multiple locations and mobile devices participate from various network points. This dimensional change allows computational capability to be achieved through coordinated distributed resources rather than a single complex centralized system, reducing infrastructure requirements while maintaining productivity.
3Adaptability or versatility
If mobile devices perform blockchain operations directly, then decentralization is improved, but energy consumption and processing limitations are exceeded
Solution Approach 1:
The patent applies local quality by assigning different operational characteristics to different parts of the system: mobile devices perform lightweight local operations such as transaction creation and validation that match their energy constraints, while edge servers handle intensive cryptographic operations that require more energy. This localized division of labor allows mobile devices to participate in decentralized blockchain operations without exceeding their energy consumption limits, thus maintaining adaptability while controlling energy use.
4Productivity
If computationally-intensive operations are distributed across network devices, then resource utilization is optimized, but coordination complexity and communication overhead increase
Solution Approach 1:
The patent implements feedback mechanisms where edge servers continuously monitor the computational status, energy levels, and operational capacity of mobile devices and adjust task allocation accordingly. Mobile devices also provide feedback about their current state to edge servers. This bidirectional feedback enables dynamic optimization of resource utilization while maintaining manageable coordination complexity through real-time adaptive decision-making rather than static complex coordination protocols.
Data Source
AI summary
The disclosed technology relates to utilizing computing resource nodes available to a wireless telecommunications network to distribute performance of blockchain operations throughout the wireless telecommunication network nodes. A wireless telecommunication network includes computing resources across multiple domains, including core network servers, base stations, and user devices. An example wireless telecommunication network includes a network-integrated blockchain service via which a blockchain node can submit a service request for usage of network resources to complete a blockchain operation (e.g., determining a cryptographic hash of data to be added to a blockchain) and via which a service result (e.g., a final hash value) can be returned to the blockchain node. The network-integrated blockchain service uses a machine learning (ML) model to predict and select certain network computing devices with resource availability.