In this paper, we explore the potential of artificial intelligence (AI) to address the challenges
posed by terahertz ultra-massive multiple-input multiple-output (THz UM-MIMO) systems. We …

Innovative foundation models, such as GPT-3 and stable diffusion models, have made a
paradigm shift in the realm of artificial intelligence (AI) towards generative AI-based systems …

Deep neural network (DNN)-based algorithms are emerging as an important tool for many
physical and MAC layer functions in future wireless communication systems, including for …

The radio-frequency (RF) signal separation challenge involves recovering a signal-of-
interest (SOI) from a superimposed co-channel interference signal. The SOI is a digital …

This paper addresses the critical problem of interference rejection in radio-frequency (RF)
signals using a novel, data-driven approach that leverages state-of-the-art AI models …

Channel estimation is a fundamental task in communication systems and is critical for
effective demodulation. While most works deal with a simple scenario where the …

The wireless spectrum is limited and the demand for its use is increasing due to
technological advancements in wireless communication, resulting in persistent interference …

Underwater acoustic communication data is expensive to collect, often yielding experimental
data sets that are sufficient for proof-of-concept analysis, but are insufficient for applications …