The impact of discrete clutter and co-channel interference on the performance of automotive
radar networks has been studied using stochastic geometry, in particular, by leveraging two …

The attention mechanism has gained significant prominence in visual-based object
detection due to its outstanding efficiency and adaptability. This paper addresses the …

In this paper, novel performance metrics are introduced to analyse full-duplex integrated
sensing and communication systems. Unlike previous studies, these metrics simultaneously …

With the increased carrier frequencies envisioned for future radar and communication
systems, transmissions in the near-field propagation region have raised an increased …

In this paper, we introduce a novel mathematical framework for assessing the performance
of joint communication and sensing (JCAS) in wireless networks, employing stochastic …

In this paper, multiple metrics are presented in order to jointly evaluate the performance of
the radar and communication functions in scenarios involving Dual Function Radar …

Advanced driver assistance systems (ADAS) enabled by automotive radars have
significantly enhanced vehicle safety and driver experience. However, the extensive use of …

We introduce a novel metric for stochastic geometry based analysis of automotive radar
networks called target {\it tracking probability}. Unlike the well-investigated detection …

We investigate an urban network characterized by blockages, where unmanned aerial
vehicles (UAVs) offer ad-hoc coverage to mobile users with distinct service rate …

Prior works have analyzed the performance of millimeter wave automotive radars in the
presence of diverse clutter and interference scenarios using stochastic geometry tools …