The physical layer security of wireless networks is becoming increasingly important because
of the rapid development of wireless communications and the increasing security threats. In …

Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Blindly decoding a signal requires estimating its unknown transmit parameters,
compensating for the wireless channel impairments, and identifying the modulation type …

Robustness against noise is critical for modulation recognition (MR) approaches deployed
in real-world communication systems. In MR systems, a corrupted signal is normally …

This article focuses on automatic modulation classification (AMC) in wireless communication
systems. A convolutional neural network (CNN) with three layers is introduced for the AMC …

Automatic modulation classification (AMC), also termed blind signal modulation recognition,
plays a critical role in various civilian and military applications. Although existing …

This paper proposes solutions to channel prediction with atmospheric duct based on
feedforward neural network (FNN) modeling. Specifically, FNN-based model is to produce …

Automatic modulation recognition (AMR) is an integral part of an intelligent transceiver for
future underwater optical wireless communications (UOWC). In this paper, an orthogonal …

提出一种基于Transformer 模型的通信信号调制识别方法: 在数据准备阶段,
构建一个不同符号速率调制识别(DSRMR) 数据集; 在数据预处理阶段, 提出I/Q 数据增强方法 …

As an essential technology of the fifth generation communication (5G), Vehicle-to-Everything
(V2X) has attracted wide attention lately. A well-designed power allocation scheme can …