The communication industry is rapidly advancing towards 5G and beyond 5G (B5G) wireless
technologies in order to fulfill the ever-growing needs for higher data rates and improved …

We propose a joint channel estimation and data detection (JED) algorithm for densely-
populated cell-free massive multiuser (MU) multiple-input multiple-output (MIMO) systems …

Wireless systems must be resilient to jamming attacks. Existing mitigation methods based on
multi-antenna processing require knowledge of the jammer's transmit characteristics that …

Communication systems' development requires service customization in aspects, such as
standards, multiple-input multiple-output (MIMO) scales, and algorithms. The existing …

Nowadays, systems need to be built and/or characterized to handle exceptional
circumstances or adapt to a world itself more complex. A typical phenomenon can often be …

Reliable and fast channel estimation is crucial for next-generation wireless networks
supporting a wide range of vehicular and low-latency services. Recently, deep learning (DL) …

We propose a joint channel estimation and data detection algorithm for massive multilple-
input multiple-output systems based on diffusion models. Our proposed method solves the …

Satellite communication is capable of supporting seamless global coverage. However,
owing to the reliance on limited-duration solar power, the high power amplifier (HPA) is often …

Tensor-based methods have attracted significant interest also in array signal processing
(ASP) given the inherently multi-dimensional nature of the problems involved therein. The …

The ability of tensor decomposition (TD)-based methods to recover latent information,
including channel parameters and transmitted symbols in the array signal processing (ASP) …