T-Mobile USA, Inc. (20240275605). DYNAMIC, COMPREHENSIVE, AND INTELLIGENT INTEGRATION OF TELECOMMUNICATION NETWORK RESOURCES FOR BLOCKCHAIN OPERATIONS simplified abstract
DYNAMIC, COMPREHENSIVE, AND INTELLIGENT INTEGRATION OF TELECOMMUNICATION NETWORK RESOURCES FOR BLOCKCHAIN OPERATIONS
Organization Name
Inventor(s)
Durga Prasad Satapathy of Ashburn VA (US)
DYNAMIC, COMPREHENSIVE, AND INTELLIGENT INTEGRATION OF TELECOMMUNICATION NETWORK RESOURCES FOR BLOCKCHAIN OPERATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240275605 titled 'DYNAMIC, COMPREHENSIVE, AND INTELLIGENT INTEGRATION OF TELECOMMUNICATION NETWORK RESOURCES FOR BLOCKCHAIN OPERATIONS
The disclosed technology involves utilizing computing resource nodes within a wireless telecommunications network to distribute the performance of blockchain operations across the network nodes.
- Wireless telecommunication networks consist of computing resources in various domains such as core network servers, base stations, and user devices.
- A network-integrated blockchain service allows blockchain nodes to request network resources for completing blockchain operations and receive the results.
- The network-integrated blockchain service employs a machine learning model to predict and select network computing devices with available resources.
Potential Applications: - Enhancing the efficiency and scalability of blockchain operations within wireless telecommunication networks. - Improving the overall performance and reliability of blockchain transactions in a distributed network environment.
Problems Solved: - Addressing the resource allocation and distribution challenges in executing blockchain operations across a wireless telecommunication network. - Optimizing the utilization of computing resources to enhance the speed and accuracy of blockchain transactions.
Benefits: - Increased speed and efficiency in processing blockchain operations. - Enhanced security and reliability of blockchain transactions within a wireless telecommunication network.
Commercial Applications: Title: "Enhancing Blockchain Performance in Wireless Telecommunication Networks" This technology could be utilized by telecommunications companies, blockchain developers, and network operators to streamline blockchain operations and improve network performance.
Prior Art: Readers can explore prior research on blockchain integration in telecommunications networks and machine learning models for resource allocation in distributed systems.
Frequently Updated Research: Stay informed about the latest advancements in blockchain technology integration in wireless networks and machine learning algorithms for resource optimization.
Questions about the Technology: 1. How does the machine learning model enhance resource allocation in the wireless telecommunication network for blockchain operations? - The machine learning model predicts and selects network computing devices with available resources to efficiently distribute the workload of blockchain operations.
2. What are the key benefits of integrating blockchain operations within a wireless telecommunication network? - The integration enhances the speed, efficiency, and security of blockchain transactions while optimizing resource utilization.
Original Abstract Submitted
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.
