In next-generation networks (NGN), a very large number of devices and applications are
emerged, along with the heterogeneity of technologies, architectures, mobile data, etc., and …

The increasing of illegal radiations, which are either artificial or unintentional, has seriously
influenced the reliable communication and operation of industrial facilities. In this article, we …

Today, unmanned aerial vehicles (UAVs) or drones are increasingly used to enable and
support multi-access edge computing (MEC). However, transferring data between nodes in …

In this paper, we consider that the unmanned aerial vehicles (UAVs) with attached intelligent
reflecting surfaces (IRSs) play the role of flying reflectors that reflect the signal of users to the …

Over the past few years, we have witnessed an exponential increase in demand for
seamless and continuous Internet access to online services–multimedia services, online …

In recent years, indoor positioning systems (IPS) are increasingly very important for a smart
factory, and the Lora positioning system based on round‐trip time (RTT) has been …

This paper proposes simulated annealing (SA) assisted deep learning (DL) based sparse
array selection approach. Conventional DL-based antenna selectors are primarily data …

In order to solve the problem of high‐resolution ISAR imaging under the condition of finite
pulses, an improved smoothed L0 norm (SL0) sparse signal reconstruction ISAR imaging …

This paper considers a reconnaissance scenario where multiple unmanned aerial vehicles
(UAVs) provide services cooperatively for multiple users with different priorities. Although …

Edge computing has a wide range of applications in the Internet of Things (IoT), especially
suitable for low latency, high bandwidth, and high reliability. Edge computing enabling IoT …