Work

Boundary Detection via Deep Learning for Grant-Free Asynchronous Random Access in Control-to-Control Industrial Networks

Year: 2025

Type: conference-paper

Source: IEEE Conference on Standards for Communications and Networking

DOI: 10.1109/cscn67557.2025.11230747

Authors: Massimo Battaglioni, Edoardo Carnevali, Dania De Crescenzo, Enrico Testi, Enrico Paolini

Institutions: Marche Polytechnic University, University of Bologna

Language: English

Topic: Wireless Signal Modulation Classification

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4416250261

FWCI:

Cites: 14

Cited by:

Related to: