In the near future, the Internet of Things will interconnect billions of devices, forming a vast
network where users sporadically transmit short messages through multi-path wireless …

This work considers a collocated radar scenario where a probing signal is emitted toward
the targets of interest and records the received echoes. Estimating the relative delay …

Resource allocation and multiple access schemes are instrumental for the success of
communication networks, which facilitate seamless wireless connectivity among a growing …

We consider the problem of gridless blind deconvolution and demixing (GB2D) in scenarios
where multiple users communicate messages through multiple unknown channels, and a …

Emerging communication networks are envisioned to support massive wireless connectivity
of heterogeneous devices with sporadic traffic and diverse requirements in terms of latency …

This work presents a novel framework for random access (RA) in crowded scenarios of
massive multiple-input multiple-output (MIMO) systems. A huge portion of the system …

We consider the problem of corrupted radar super-resolution, a generalization of
compressed radar super-resolution in which one aims to recover the continuous-valued …

We address the line spectral estimation problem with multiple measurement corrupted
vectors. Such scenarios appear in many practical applications such as radar, optics, and …

Integrated sensing and communications (ISAC) is a promising component of 6G networks,
fusing communication and radar technologies to facilitate new services. Additionally, the use …

We address the problem of estimating time and frequency shifts of a known waveform in the
presence of multiple measurement vectors (MMVs). This problem naturally arises in radar …