As a key technique for enabling artificial intelligence, machine learning (ML) is capable of
solving complex problems without explicit programming. Motivated by its successful …

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 the recent development in information and communication technology, more and more
smart devices penetrate into people's daily life to promote the life quality. As a growing …

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 …

With the exponential increase in mobile internet traffic driven by a new generation of
wireless devices, future cellular networks face a great challenge to meet this overwhelming …

In this paper, we investigate dynamic base station (BS) switching to reduce energy
consumption in wireless cellular networks. Specifically, we formulate a general energy …

Small cells constitute a promising solution for managing the mobile data growth that has
overwhelmed network operators. Local caching of popular content items at the small cell …

To meet the ever increasing mobile traffic demand in 5G era, base stations (BSs) have been
densely deployed in radio access networks (RANs) to increase the network coverage and …

To achieve the expected 1000x data rates under the exponential growth of traffic demand, a
large number of BSs or APs will be deployed in 5G wireless systems to support high data …

The cloud radio access network (C-RAN) concept, in which densely deployed access points
(APs) are empowered by cloud computing to cooperatively support mobile users (MUs), to …