Due to global climate change as well as economic concern of network operators, energy
consumption of the infrastructure of cellular networks, or “Green Cellular Networking,” has …

With years of tremendous traffic and energy consumption growth, green radio has been
valued not only for theoretical research interests but also for the operational expenditure …

This paper considers a wireless powered communication network (WPCN), where multiple
users harvest energy from a dedicated power station and then communicate with an …

Edge machine learning involves the deployment of learning algorithms at the network edge
to leverage massive distributed data and computation resources to train artificial intelligence …

In mobile edge computing systems, mobile devices can offload compute-intensive tasks to a
nearby cloudlet, so as to save energy and extend battery life. Unlike a fully-fledged cloud, a …

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 …

In this paper, we investigate the energy-efficient power control for device-to-device (D2D)
communications underlaying cellular networks, where uplink resource blocks allocated to …

Spectral efficiency (SE) and energy efficiency (EE) are the main metrics for designing
wireless networks. Rather than focusing on either SE or EE separately, recent works have …

With the proliferation of wireless devices, wireless networks in various forms have become
global information infrastructure and an important part of our daily life, which, at the same …

In this paper, we consider wireless powered communication networks (WPCNs) where
multiple users harvest energy from a dedicated power station and then communicate with an …