Wireless Communication Data-Type Identities for AI/ML Data Management
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Solution Overview
Problem
Existing communication systems face complexity in managing and controlling large amounts of diverse data types due to the integration of artificial intelligence and machine learning technologies, necessitating a method to distinguish data types for simplified management and control.
Innovation Solution
A wireless communication method and device that utilize data type identities in messages for identifying and managing data, including globally unique, area-defined, and temporary data type identities, associated with data feature information to facilitate data collection and management processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If communication systems integrate AI/ML technologies to leverage big data, then the capability to uncover latent features is improved, but the complexity of managing and controlling large amounts of diverse data increases
Solution Approach 1:
The patent segments data by introducing data type identities that categorize different types of data (e.g., uplink data, downlink data, control data). This segmentation allows the communication system to manage diverse data types separately, reducing the complexity of overall data management while maintaining the ability to leverage big data for AI/ML applications.
Solution Approach 2:
The patent introduces data type identities as an intermediary mechanism between the communication system and the diverse data types. These identities act as mediators that enable the system to distinguish, categorize, and manage different data types without directly handling the complexity of each individual data type, thus reducing management complexity while preserving data utilization capability.
2Productivity
If the system collects large amounts of different types of data for AI model learning, then the quality of AI/ML learning is improved, but the complexity of data management and control increases
Solution Approach 1:
The patent applies segmentation by dividing data into distinct categories using data type identities. This allows the system to collect and manage large amounts of diverse data for AI/ML learning while organizing them into manageable segments, thereby maintaining high learning quality without proportionally increasing management complexity.
Solution Approach 2:
The patent changes the parameter of data identification by introducing data type identities as a new parameter. This parameter change enables the system to efficiently categorize and manage large volumes of diverse data, facilitating AI/ML learning while keeping data management complexity可控 through standardized parameter-based classification.
3Ease of operation
If the system uses data type identities to distinguish data types, then the ease of data management is improved, but the message structure complexity increases
Solution Approach 1:
The patent applies universality by designing data type identities with a unified structure that can accommodate multiple data types through a common identification mechanism. This universal approach simplifies data management operations while avoiding the need for complex, type-specific message structures, as the same identification framework handles diverse data categories.
Solution Approach 2:
The patent uses copying by creating standardized data type identity templates that can be replicated and applied across different data types. This copying mechanism allows the system to maintain consistent, simple message structures while still distinguishing between various data types, thereby improving ease of management without significantly increasing structural complexity.
Data Source
AI summary
Provided are a wireless communication method and a communication device. The method includes: a first device sending a first message to a second device, wherein the first message is used for management and control related to first data, and the first message is associated with a data-type identifier of the first data.