As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

Physical layer security (PLS) has been extensively explored as an alternative to
conventional cryptographic schemes for securing wireless links. Many studies have shown …

Deep Learning (DL) is such a powerful tool that we have seen tremendous success in areas
such as Computer Vision, Speech Recognition, and Natural Language Processing. Since …

Both caching and interference alignment (IA) are promising techniques for next-generation
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …

The access security of wireless devices is a serious challenge in present wireless network
security. Radio frequency (RF) fingerprint recognition technology as an important non …

Automated modulation classification plays a very important part in cognitive radio networks.
Deep learning is also a powerful tool that we could not overlook its potential in addressing …

In the future 5G paradigm, billions of machinetype devices will be deployed to enable wide-
area and ubiquitous data sensing, collection, and transmission. Considering the traffic …

The capacity of interference network is a fundamental issue that eludes the researchers for
decades. Interference alignment (IA) is an emerging interference management technique …

In this paper, a simultaneous cooperative spectrum sensing and energy harvesting model is
proposed to improve the transmission performance of the multichannel cognitive radio. The …

In 5G-based cognitive radio, the primary user signal is more active due to the broad
frequency band. The traditional cooperative spectrum sensing only detects one …