Sixth-generation (6G) networks pose substantial security risks because confidential
information is transmitted over wireless channels with a broadcast nature, and various attack …

This study proposed a two-stage method, which combines a convolutional neural network
(CNN) with the continuous wavelet transform (CWT) for multiclass modulation classification …

Deep learning (DL)-based automatic modulation classification (AMC) has made
breakthroughs and is generally used for signal detection and recognition in wireless …

Unmanned air vehicles (UAVs) has shown great potential to enable numerous applications
ranging from industry verticals to public safety communications. However, various …

Abstract As the 6th-Generation (6G) wireless communication networks evolve, privacy
concerns are expected due to the transmission of vast amounts of security-sensitive private …

Modulation recognition (MR) has become an essential topic in today's wireless
communications systems. Recently, convolutional neural networks (CNNs) have been …

In modern communication systems, automatic modulation recognition (AMR) has broad
application prospects but a large amount of training data is usually required. Due to the high …

The Internet of Things (IoT) has swiftly become one of the most important technologies in
recent years. Radio spectrum access represents a stern challenge for the IoT as a …

为解决雷达信号调制识别中存在的计算复杂度高, 低信噪比环境识别准确率低和仿真数据真实度
低等问题, 提出了基于频谱形状的低复杂度雷达信号分类算法. 对信号频谱进行归一化 …

The fifth generating (5G) of wireless networks will be more adaptive and heterogeneous.
Reconfigurable intelligent surface technology enables the 5G to work on multistrand …