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cs.IT2026
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…
cs.NI2026
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…