Feature applications envisioned in the 6G era, represented by holographic communication, full-sensing communication, intelligent transportation, and intelligent manufacturing in terms of virtual and physical integration, immersion, contextualization, and personalization, have placed high demands on the intelligentization of 6G networks. The current network operating mechanism based on rule-based algorithms is limited by rigid preset rules. It is difficult to adapt dynamically to constantly changing user needs and network environments. In order to enable the network to effectively accumulate and independently utilize the operating experience and realize the independent iterative evolution of network operation, management, and control capabilities, this article proposes the concept of the intelligence-endogenous network (IEN). The IEN aims to introduce knowledge graph and artificial intelligence technologies into networks to characterize, construct, learn, and apply the network's multidimensional subjective and objective knowledge. Based on the learned knowledge, an IEN can realize stereo perception, decision deduction, and dynamic adjustment, so the network can change as it needs for whatever new services we want. The article introduces the basic concepts, goals, and meanings of the IEN, together with its key principles and technologies, and illustrates how it innovatively responds to the current network's multifaceted challenges with an intuitive use case.

中文翻译：

---

智能内生网络：6G创新网络范式


6G时代以全息通信、全感知通信、智能交通、智能制造等为代表的虚实融合、沉浸式、情景化、个性化的特色应用，对6G网络的智能化提出了很高的要求。当前基于规则算法的网络运行机制受到严格预设规则的限制。很难动态适应不断变化的用户需求和网络环境。为了使网络能够有效积累和自主运用运营经验，实现网络运营、管理和控制能力的自主迭代演进，本文提出智能内生网络（IEN）的概念。 IEN旨在将知识图谱和人工智能技术引入网络中，以表征、构建、学习和应用网络的多维主客观知识。基于所学到的知识，IEN可以实现立体感知、决策推演和动态调整，因此网络可以根据我们想要的任何新服务而变化。文章介绍了IEN的基本概念、目标和意义及其关键原理和技术，并通过直观的用例说明了它如何创新地应对当前网络的多方面挑战。