Deep learning is considered one of promising tools to develop intelligent wireless
techniques in the fifth-generation (5G) wireless communication systems. However, existing …

Autoencoder-based communication systems use neural network channel models to
backwardly propagate message reconstruction error gradients across an approximation of …

As a promising paradigm of the fifth generation networks, fog radio access network (F-RAN)
has attracted lots of attention nowadays. To fully utilize the promising gain of F-RANs, the …

The millimeter wave bands are being increasingly considered for wireless communication to
unmanned aerial vehicles (UAVs). Critical to this undertaking are statistical channel models …

Benefiting from the growth of the bandwidth, Terahertz (THz) communication can support the
new application with explosive requirements of the ultra-high-speed rates for future 6G …

Wireless channel modeling has always been one of the most fundamental highlights of the
wireless communication research. The performance of new advanced models and …

Intelligent communication is gradually becoming a mainstream direction. As a major branch
of machine learning, deep learning (DL) has been applied in physical layer communications …

In recent days, the vehicular communication system (VCS) plays an important role in driving
safety and traffic information. In VCS, one of the most important factors that affects the system …

Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

In signal communication based on a non-cooperative communication system, the receiver is
an unlicensed third-party communication terminal, and the modulation parameters of the …