6 papers
A Deep Learning-based Receiver for Asynchronous Grant-Free Random Access in Control-to-Control Networks
Massimo Battaglioni, Edoardo Carnevali, Dania De Crescenzo +3
In this paper, we study grant-free, asynchronous control-to-control (C2C) communications in an indoor scenario with a shared wireless channel. Each communication node transmits com…
Multi-Agent Meta-Advisor for UAV Fleet Trajectory Design in Vehicular Networks
Leonardo Spampinato, Lorenzo Mario Amorosa, Enrico Testi +2
Future vehicular networks require continuous connectivity to serve highly mobile users in urban environments. To mitigate the coverage limitations of fixed terrestrial macro base s…
A Grant-free Coded Random Access Scheme for Near-field Communications
Enrico Testi, Giulia Torcolacci, Nicolò Decarli +2
The industrial Internet of things (IIoT) is revolutionizing industrial processes by facilitating massive machine-type communications among countless interconnected devices. To effi…
A Neural Network-aided Low Complexity Chase Decoder for URLLC
Enrico Testi, Enrico Paolini
Ultra-reliable low-latency communications (URLLC) demand decoding algorithms that simultaneously offer high reliability and low complexity under stringent latency constraints. Whil…
Blind User Activity Detection for Grant-Free Random Access in Cell-Free mMIMO Networks
Muhammad Usman Khan, Enrico Testi, Marco Chiani +1
Cell-free massive MIMO (CF-mMIMO) networks have recently emerged as a promising solution to tackle the challenges arising from next-generation massive machine-type communications.…
MADRL-based UAVs Trajectory Design with Anti-Collision Mechanism in Vehicular Networks
Leonardo Spampinato, Enrico Testi, Chiara Buratti +1
In upcoming 6G networks, unmanned aerial vehicles (UAVs) are expected to play a fundamental role by acting as mobile base stations, particularly for demanding vehicle-to-everything…