While several wireless network simulators exist, the absence of modern, standardised
network datasets may adversely affect the application of machine learning methods to …

With the widespread deployment of wireless technologies and IoT, 5G wireless networks will
support various communication connectivity and services for the huge number of wireless …

Komondor is a wireless network simulator for next-generation wireless local area networks
(WLANs). The simulator has been conceived as an accessible (ready-to-use) open source …

Machine Learning (ML) algorithms are proposed to replace conventional algorithms in the
area of wireless networking. Many of the suggested algorithms are often based on …

Without any doubt, Machine Learning (ML) will be an important driver of future
communications due to its foreseen performance when applied to complex problems …

Wireless communication systems are irreversibly changing our lives. Today, wireless
networks are extremely complex systems and they are evolving towards more complex ones …

Real-time data generation and collection to analyse the network performance is difficult for
large-scale networks having limited accessibility. In this paper we propose a framework …

Optimizing the performance of a real-world wireless network is extremely challenging
because of the difficulty to predict the network performance as a function of network …

Wireless Network Simulation – Your Window on Future Network Performance Page 1 Wireless
Personal Communications (2005) 33: 319–325 DOI: 10.1007/s11277-005-0575-0 C Springer …

In-network machine learning inference provides high throughput and low latency. It is ideally
located within the network, power efficient, and improves applications' performance. Despite …