Data Sets For Machine Learning In Wireless Communications And Networks

Abstract

The articles in this special section focus on the role of data sets for the evolution of the telecommunication industry in the 5G and 6G era. In 5G and 6G, many new services are emerging to accommodate various Internet of Things (IoT) devices, going beyond the traditional provisions of mobile phones and internet connectivity. Examples of these services include extended reality devices, sensors, or ground and aerial robots. The deployment of these advanced services, however, poses challenges for the wireless network, particularly in its ability to support ubiquitous connections while meeting diverse quality-of-service (QoS) requirements. Despite the remarkable success of model-based design and analysis in wireless networks, it has become evident that these conventional approaches may not be fully adequate to address the dynamic and diverse QoS requirements posed by the emerging IoT landscape. The heterogeneity of devices and services necessitates a more adaptive and intelligent approach to ensure efficient network performance.