Читать книгу The Smart Cyber Ecosystem for Sustainable Development - Группа авторов - Страница 54

In previous sections, we discussed various topics about recent trends in network configuration, control, and management. We indicated recent trends in network architecture design in order to respond to the requirements of large-scale networks. Large-scale networks feature a significant increase in the number of users and smart technology-based systems that have become an integral part of human life, especially with the vast amount of software applications that require high speeds and fast real time response. In addition to that, different applications emerged in the last years to allow easy and high quality communication between people. Such applications have become an important tool used even by the largest media stations.

In the following sections, we review and discuss important challenges in wireless networking that can be better tackled, exploiting ML approaches. The application of ML in wireless networking aims at reducing human interaction and creating a self-driven network, that are able to optimize and configure themselves. We focus on recent published research and try to shed light on important research aspects of the present and future. Our goal is to assist readers to identify the scientific areas and specific issues that need further research and exploration. We divide the discussion into three parts. In the first part, we focus on Cellular networks, while the second part focuses on wireless local area networks (WLANs). The third part is devoted to cognitive radio networks.