Neural Message Translation Between Heterogeneous Network Apparatuses
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Solution Overview
Problem
The administration and supervision of heterogeneous communication network apparatuses from different manufacturers is complicated by non-standardized nomenclature and format of metrics and commands, leading to complex and costly software development and maintenance of mediation interfaces.
Innovation Solution
A method using an artificial neural network, specifically a transformer-based model, to translate messages between apparatuses with different communication languages, simplifying the conversion of telemetry and configuration data within a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standardization work is undertaken by organizations such as 3GPP and ETSI, then interoperability between apparatuses from different manufacturers should improve, but the complexity and cost of developing and maintaining mediation interfaces still increases over time due to frequent network developments and the need to constantly review and update software code
Solution Approach 1:
The patent introduces an intermediary translation layer that mediates between apparatus-specific data formats and the operator's information system. This translation interface automatically converts metrics and commands between different manufacturers' proprietary formats and the operator's standardized format, reducing the need for complex custom software development for each new apparatus type while maintaining interoperability.
Solution Approach 2:
The patent creates a universal translation framework that handles multiple apparatus manufacturers and their different data formats through a single standardized interface. The mediation system is designed to be multi-functional, supporting various apparatus types and their respective proprietary formats without requiring separate custom integration for each manufacturer, thereby reducing overall software complexity.
2Reliability
If apparatuses from different manufacturers are implemented within the same communication network, then hardware redundancy and network robustness are improved, but the supervision, administration and configuration of the network is significantly complicated by heterogeneous nomenclature and formats
Solution Approach 1:
The translation interface acts as an intermediary that presents a unified, standardized view of apparatus metrics and commands to the operator's information system. This allows operators to administer and supervise heterogeneous apparatuses using a single standardized interface, eliminating the need to learn and manage multiple proprietary formats from different manufacturers while maintaining the ability to work with diverse hardware.
3Adaptability or versatility
If mediation interfaces with software code are developed and maintained to consolidate indicators from various apparatuses, then communication between heterogeneous apparatuses is enabled, but the cost and time required for development and maintenance increases with frequent network developments
Solution Approach 1:
The patent establishes a pre-configured translation framework with standardized mappings between common apparatus formats and the operator's information system. By preparing translation rules and formats in advance for multiple manufacturers, the system reduces the time required for integration when new apparatuses are deployed, as the translation interface can handle them with minimal additional configuration.
Data Source
AI summary
A method for establishing communication between at least two apparatuses in a communication network. Such a method includes, in an intermediate device: receiving, from one of the two apparatuses, referred to as first apparatus, a first message which is formatted in a first language associated with the first apparatus; generating, from the first message, a second message which is formatted in a second language associated with the other one of the two apparatuses, referred to as second apparatus, the second message corresponding to a translation of the first message into the second language, the generation being implemented by means of at least one artificial neural network; and transmitting the second message to the second apparatus.