In this survey paper, we characterize the learning problem in cognitive radios (CRs) and
state the importance of artificial intelligence in achieving real cognitive communications …

Opportunistic spectrum access (OSA) has been regarded as the most promising approach to
solve the paradox between spectrum scarcity and waste. Intelligent decision making is key …

Driven by the growing popularity of mobile applications, mobile cloud computing has been
envisioned as a promising approach to enhance computation capability of mobile devices …

In this paper, we investigate the problem of multiuser computation offloading for cloudlet-
based mobile cloud computing in a multichannel wireless contention environment. The …

With the fast development of Internet of Vehicles (IoV), various types of computation-
intensive vehicular applications pose significant challenges to resource-constrained …

Facing the dramatic increase of mobile devices and the scarcity of spectrum resources, grant-
free nonorthogonal multiple access (NOMA) emerges as an enabling technology for …

The development of the Internet-of-Things (IoT) security is comparatively slower than the
pace of the IoT innovations. The seamless IoT network operates in an untrusted environment …

Unmanned aerial vehicles (UAVs) can be deployed in the air to provide high probabilities of
line of sight (LoS) transmission, thus UAVs bring much gain for wireless communication …

In this paper, we study the energy-efficient resource allocation problem for device-to-device
(D2D) communication underlaying cellular networks, which aims to maximize the minimum …

Kernel-based learning (KBL) methods have recently become prevalent in many engineering
applications, notably in signal processing and communications. The increased interest is …