Decentralized Network Register for Mobile Telecommunications
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Solution Overview
Problem
Centralized databases in mobile telecommunications networks are costly, complex, and prone to failures, making them inefficient for storing and managing user data across a large network.
Innovation Solution
A decentralized network register using a peer-to-peer network with multiple register nodes, each associated with a geographic region, employs hash tables to store terminal identifiers and user data, allowing for distributed storage and retrieval of user information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a centralized database is used to store user data of all subscribers, then all user data can be managed in a single location, but hardware costs and technical complexity increase significantly
Solution Approach 1:
The centralized database is segmented into multiple distributed database nodes across the network. Each node stores a portion of the user data, eliminating the need for a single large centralized database. This segmentation reduces the hardware complexity and cost of any single database system while maintaining the ability to manage all user data collectively.
Solution Approach 2:
The database architecture transitions from a single-dimensional centralized structure to a multi-dimensional distributed structure across multiple network nodes. Data is organized using hash tables that map user identifiers to specific database nodes, creating a new dimensional organization that enables efficient distributed access without requiring a single large database system.
2Ease of manufacture
If a centralized database is used to store user data of all subscribers, then all user data can be managed in a single location, but the failure risk for the entire network increases
Solution Approach 1:
The centralized database is segmented into multiple distributed database nodes across the network. Each node stores a portion of the user data, eliminating the need for a single large centralized database. This segmentation reduces the hardware complexity and cost of any single database system while maintaining the ability to manage all user data collectively.
Solution Approach 2:
The database architecture transitions from a single-dimensional centralized structure to a multi-dimensional distributed structure across multiple network nodes. Data is organized using hash tables that map user identifiers to specific database nodes, creating a new dimensional organization that enables efficient distributed access without requiring a single large database system.
3Ease of operation
If a centralized database is used, then data access is simplified, but high data transfer rates for simultaneous access require considerable technical complexity
Solution Approach 1:
The centralized database is segmented into multiple distributed database nodes across the network. Each node stores a portion of the user data, eliminating the need for a single large centralized database. This segmentation reduces the hardware complexity and cost of any single database system while maintaining the ability to manage all user data collectively.
Solution Approach 2:
The patent replaces the mechanical/physical centralized database system with a distributed network-based system using hash table algorithms. Instead of relying on high-speed physical data transfer infrastructure to a single database, the system uses computational hashing to directly locate data across the distributed network, substituting algorithmic efficiency for physical data transfer speed.
Data Source
AI summary
For operating a telecommunications network for mobile telecommunication, a network register is used holding identifiers of mobile terminals for communication via the telecommunications network and network-related user data of the terminals. This the network register is formed from a peer-to-peer network having a multiplicity of decentralized register nodes that are networked with one another and are each associated with one geographic region. Hash tables held in the register nodes hold the identifiers of the terminals as hash values, and user data is stored associated with these hash values.


