全球6G技术大会：2024年6G数据面白皮书_54页_5mb

American 5G networks have limitations in handling internal data like perception and AI data, leading to issues such as data fragmentation, privacy concerns, and inefficient management. This has prompted the development of 6G data planes (DataPlane) to address these challenges, aiming for unified data lifecycle management from generation to consumption. Key advancements include standards from organizations like 3GPP, IMT-2030 (6G) Promotion Group, NextG Alliance, Hexa-X, and 6GANA, focusing on data collection, privacy, and architecture enhancements.

6G data services involve managing diverse data types—such as perception data (e.g., from sensors and AI models), AI training data, and network-specific information—for applications like immersive communication and AI-driven insights. New requirements include cooperative data gathering, user-centric control, edge computing integration, and data rights management.

The proposed 6G data plane includes components like data collection, privacy protection, storage, and processing, forming a unified framework with interfaces for efficient data handling. Critical technologies include data compression, distributed storage, blockchain for security, semantic-based interfaces, and air interface protocols tailored for data services. Sharing summary files ensures timely progress updates, fostering collaboration in standardization efforts.

This document summarizes the vision and technical directions, highlighting 6G's shift from pure connectivity to integrated data services.

User participation in AI training is encouraged via mechanisms like federated learning, reducing privacy risks. Data surfaces as a core capability, empowering network functions to deliver enhanced services and optimize user experiences. Ongoing research and prototype validations are crucial for refining 6G data plane specifications ahead of deployment.