KIGLIS: Smart Networks for Smart Cities

TL;DR

This paper discusses the KIGLIS project, which aims to optimize fiber-optic networks in smart cities using artificial intelligence, focusing on future mobility applications like automated driving.

Contribution

It introduces a process for collecting smart city network requirements and explores how AI can enhance network infrastructure for smart city applications.

Findings

Initial requirements collection for smart city networks

Potential AI-driven improvements in fiber-optic infrastructure

Directions for future research in AI-enhanced smart city networks

Abstract

Smart cities will be characterized by a variety of intelligent and networked services, each with specific requirements for the underlying network infrastructure. While smart city architectures and services have been studied extensively, little attention has been paid to the network technology. The KIGLIS research project, consisting of a consortium of companies, universities and research institutions, focuses on artificial intelligence for optimizing fiber-optic networks of a smart city, with a special focus on future mobility applications, such as automated driving. In this paper, we present early results on our process of collecting smart city requirements for communication networks, which will lead towards reference infrastructure and architecture solutions. Finally, we suggest directions in which artificial intelligence will improve smart city networks.