Towards an AI-native, user-centric air interface for 6G networks

CENTRIC提出通过自上而下的模块化无线连接方法利用人工智能（AI）技术，将用户的通信需求和环境限制置于网络堆栈设计的中心。这一切都始于用户的目标和特定于应用程序的需求。然后，人工智能技术用于创建和定制定制的波形、收发器、信令、协议和RRM程序来支持这些要求。这是CENTRIC将启用的以用户为中心的AI空中接口（AI-AI）。为了保证CENTRIC的AI-AI可以在实践中实施，我们还将探索和开发具有现实和AI-AI兼容能效特性的创新硬件计算基板。这包括新颖的电子技术，如神经形态计算和混合模拟-数字平台。CENTRIC将通过推进理论、算法、硬件协同设计以及基于数字孪生的培训和监控环境，使这一切成为可能。我们将专注于为特定用户或用户类型提供所需的体验质量（QoE），同时优化频谱使用，最大限度地减少能耗并保证EMF合规性。CENTRIC的成果将在实验室原型中得到验证和展示，其突破将使未来的6G用例成为可能，如自动驾驶汽车、纳米生物物联网或多感官全息通信。

CENTRIC proposes to leverage Artificial Intelligence (AI) techniques through a top-down, modular approach to wireless connectivity that puts the users’ communication needs and environmental constraints at the center of the network stack design. It all starts with the users’ objectives and application-specific requirements. Then, AI techniques are used to create and customize tailor-made waveforms, transceivers,signaling, protocols and RRM proceduresto support these requirements. Thisisthe user-centric AI Air Interface (AI-AI) that CENTRIC will enable. To guarantee that CENTRIC’s AI-AI can be implemented in practice, we will also explore and develop innovative hardware computing substrates with realistic and AI-AI-compatible energy-efficiency properties. This includes novel electronics such as neuromorphic computing and mixed analog-digital platforms. CENTRIC will make this possible by advancing theory, algorithms, hardware co-design, and training and monitoring environments based on digital twins. We will focus on providing the desired quality of experience (QoE) to a given user, or type of users, while optimizing spectrum usage, minimizing energy consumption and guaranteeing EMF compliance. The results of CENTRIC will be validated and demonstrated in laboratory prototypes and its breakthroughs will enable future 6G use-cases, such as self-driving vehicles, the internet of nano bio-things, or multi-sensory holographic communications.