PRogrammable AI-Enabled DeterminIstiC neTworking for 6G

6 G旨在加速5G开始的道路，以满足当前和新兴的各种垂直用例的需求。这将需要对当前的5G功能进行重大增强，特别是在带宽、延迟、可靠性、安全性和能源方面。因此，PREDICT-6 G的使命是开发端到端6 G（E2 E）解决方案，包括能够保证为需要非常严格的时间和可靠性约束的垂直用例无缝提供服务的架构和协议。为了取得成功，该解决方案将针对整个确定性网络基础设施，包括有线和无线部分及其互连。PREDICT-6 G将开发一种新的多技术多域数据平面（MDP），彻底改变现有有线和无线标准中的可靠性和时间敏感性设计功能。目标是使MDP设计具有内在的确定性。为了实现这一目标，PREDICT-6 G将开发一个人工智能驱动的多利益相关者域间控制平面（AICP），用于提供确定性的网络路径，以支持最终客户要求的时间敏感服务和不同的扩展目标，例如，从单个车辆中的网络到地理上分散的大型网络。这需要及时监控和预测整个网络的行为，包括识别质量违规的潜在来源和分析流量的各种路径。这些功能将通过由人工智能驱动的PREDICT-6 G Digital Twin（DT）框架提供，允许预测端到端网络基础设施的行为，并实现对网络配置的预期控制和验证，以满足运行服务的真实世界时间敏感性和可靠性要求

6G is envisioned to accelerate the path started in 5G for catering to the needs of a wide variety of vertical use cases, both current and emerging. This will require major enhancements of the current 5G capabilities especially in terms of bandwidth, latency, reliability, security, and energy. PREDICT-6G’s mission is therefore set towards the development of an end-to-end 6G (E2E) solution including architecture and protocols that can guarantee seamless provisioning of services for vertical use cases requiring extremely tight timing and reliability constraints. To succeed, the solution will target determinism network infrastructures at large, including wired and wireless segments and their interconnections. PREDICT-6G will develop a novel Multi-technology Multi-domain Data-Plane (MDP) overhauling the reliability and time sensitiveness design features existing in current wired and wireless standards. The ambition is for the MDP design to be inherently deterministic. To achieve this, PREDICT-6G will develop an AI-driven Multi-stakeholder Inter-domain Control-Plane (AICP) for the provisioning of deterministic network paths to support time sensitive services as requested by end-customers and with different scaling ambitions, e.g., from the network in a single vehicle to a large, geographically dispersed network. This requires timely monitoring and prediction of the behavior of the complete network, including identifying potential sources of quality violations and analyzing various routes of the traffic flows. These capabilities will be delivered through the PREDICT-6G AI-powered Digital Twin (DT) framework, allowing the prediction of the behavior of the end-to-end network infrastructure, and enabling anticipative control and validation of the network provisions to meet the real-world time-sensitive and reliability requirements of the running services