This paper studies a joint design of resource allocation and task offloading in a wireless
powered mobile edge computing network involving different types of computation tasks. To …

Cognitive radio (CR) can be leveraged to mitigate the spectrum scarcity problem of Internet
of Things (IoT) applications while wireless energy harvesting (WEH) can help reduce …

In this paper, we consider a wireless powered mobile edge computing (MEC) network,
where the distributed energy-harvesting wireless devices (WDs) are powered by means of …

The integration of Mobile-edge Computing (MEC) and Wireless Energy Transfer (WET) has
been recognized as a promising technique to enhance computation capability and to …

The mobile edge computing (MEC) is combined with wireless energy transfer (WET) to
enhance the performance of wireless devices in Internet of Things (IoT) systems, which is …

This paper studies a rotary-wing unmanned aerial vehicle (UAV)-assisted wireless powered
fog computing network, where a UAV serves as both a mobile wireless energy source and a …

Due to the limited battery energy of mobile devices, the issue of energy-efficient resource
allocation has drawn significant interest in the mobile cloud computing area. Simultaneous …

Limited battery capacity and poor computing capability of wireless devices have been
longstanding performance limitations in the Internet of Things (IoT) era. Employing Wireless …

This paper studies a green paradigm for the underlay coexistence of primary users (PUs)
and secondary users (SUs) in energy harvesting cognitive radio networks (EH-CRNs) …

We develop a joint offloading and resource allocation framework for a multi-layer
cooperative fog computing network, aiming to minimize the total energy consumption of …