Automatic modulation classification (AMC) is a signal processing technology used to identify
the modulation type of unknown signals without prior information such as modulation …

Ensuring network security, effective malware detection (MD) is of paramount importance.
Traditional methods often struggle to accurately learn and process the characteristics of …

As a consequence of continuing demand for additional capacity and higher quality data
transmission, channel coding as a key component of a digital communication network has …

With the increasing popularity of rail transit and the increasing number of light rail trips, the
vulnerability of rail transit has become increasingly prominent. Once the rail transit is …

Automatic modulation classification (AMC) is one of the most important technologies in
various communication systems, including drone communications. It can be applied to …

The implementation of Scenario Classification (SC) plays a pivotal role in various edge
intelligence applications, notably in fields such as autonomous driving, navigation, and …

With the increasing demand for high data rates, low delay, and extended battery life,
managing massive machine-type communication (mMTC) in the beyond 5G (B5G) context is …

Automatic modulation classification (AMC) plays a crucial role in wireless communication by
identifying the modulation scheme of received signals, bridging signal reception and …

6G is a next-generation cellular communication technology that builds up on existing 5G
networks which are currently rolled out worldwide. Through incorporation of artificial …

This paper presents a novel method for estimating received signal strength (RSS) in indoor
radio propagation using a deep learning approach. The proposed method utilizes a training …