LAUSR

With ever increasing complexity and dynamicity of communication networks, intelligent network operation and maintenance has become more important to network operators. With the fast development of artificial intelligence, concepts such as “zero touch,” “intent-based,” “knowledge-defined,” and “self-driving” networks have become well known in the networking community for a great vision of making networks automatically manageable and responsive to user demands. This article discusses how to achieve zero touch networks from the perspective of language-like systems. We propose a novel hierarchical “language” framework dedicated for networks to enable the zero touch network, which ranges from symbolizing network components, a unified framework for understanding network systems, to the logical description with network semantics. A case study based on the proposed language framework is provided. Finally, we discuss the challenges and open issues of intelligence models for zero touch networks.