Efficient resource allocation strategies are pivotal in vehicular communications as connected
devices steeply increase in scenarios with much more stringent requirements. In this work …

With the arrival of industry 4.0, industrial control systems are converted into “smart” industrial
cyber-physical systems that depend on high interconnectivity enabled by ubiquitous …

Machine learning models have been extensively proposed for classifying network flows as
benign or malicious, either in-network or at the endpoints of the infrastructure. Typically, the …

Deep neural networks (DNNs) have been widely used for learning precoding policy to
achieve good system performance with low computational complexity. However, existing …

It is very challenging to design an effective wireless communication system. That's because
of numerous factors affecting the performance of a typical wireless communication system …

In many practical application scenarios, radio communication signals are very frequently
represented as spectrograms, which represent the received signal strength measured at …

Artificial intelligence (AI) on an edge device has enormous potential, including advanced
signal filtering, event detection, optimization in communications and data compression …

Beyond 5G and 6G communications are foreseen to transform the world, connecting not only
people but also vehicles, wearables, devices, sensors, and even physical and digital worlds …

Massive MIMO (mMIMO) communication systems are recognized as key enablers of next-
generation wireless networks. However, the orthogonal pilot assignments typical of multiple …

With the rising use of Artificial Intelligence (AI) and Machine Learning (ML) methods, there
comes an increasing need to understand how automated systems make decisions …