Fifth generation (5G) network and beyond envision massive Internet of Things (IoT) rollout to
support disruptive applications such as extended reality (XR), augmented/virtual reality …

With outstanding features, machine learning (ML) has become the backbone of numerous
applications in wireless networks. However, the conventional ML approaches face many …

Identification of the type of communication technology and/or modulation scheme based on
detected radio signal are challenging problems encountered in a variety of applications …

Automatic modulation classification facilitates many important signal processing
applications. Recently, deep learning models have been adopted in modulation recognition …

In this paper, we review a variety of deep learning algorithms and models for modulation
recognition and classification of wireless communication signals. Specifically, deep learning …

As a key candidate technique for fifth-generation (5G) mobile communication systems, non-
orthogonal multiple access (NOMA) has attracted considerable attention in the field of …

With outstanding features, Machine Learning (ML) has been the backbone of numerous
applications in wireless networks. However, the conventional ML approaches have been …

针对6G 时代将会是移动通信与人工智能紧密结合的时代, 产生数量庞大的边缘智能信号处理
节点的趋势, 提出了一种可部署于资源受限的边缘设备上的高效智能电磁信号识别模型. 首先 …

Internet of Things (IoT) networks are often subject to many malicious attacks in untrusted
environments, and automatic modulation classification (AMC) is an effective way to combat …

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 …