Energy-efficient base-stations sleep-mode techniques in green cellular networks: A survey
J Wu, Y Zhang, M Zukerman… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
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 …
consumption of the infrastructure of cellular networks, or “Green Cellular Networking,” has …
A survey on green mobile networking: From the perspectives of network operators and mobile users
Efficient usage of energy in wireless networks represents a major concern in academia and
industry, mainly because of environmental, financial, and quality-of-experience …
industry, mainly because of environmental, financial, and quality-of-experience …
[PDF][PDF] Key techniques for 5G wireless communications: network architecture, physical layer, and MAC layer perspectives.
The fourth generation (4G) mobile communication systems are offering service worldwide
steadily. Although 4G systems could be loaded with much more services and data than …
steadily. Although 4G systems could be loaded with much more services and data than …
Deep-reinforcement-learning-based resource allocation for content distribution in fog radio access networks
With the rapid development of wireless communication technologies, the emerging
multimedia applications make mobile Internet traffic grow explosively while putting forward …
multimedia applications make mobile Internet traffic grow explosively while putting forward …
Green 5G heterogeneous networks through dynamic small-cell operation
Traditional macrocell networks are experiencing an upsurge of data traffic, and small-cells
are deployed to help offload the traffic from macrocells. Given the massive deployment of …
are deployed to help offload the traffic from macrocells. Given the massive deployment of …
Cost-efficient workload scheduling in cloud assisted mobile edge computing
Mobile edge computing is envisioned as a promising computing paradigm with the
advantage of low latency. However, compared with conventional mobile cloud computing …
advantage of low latency. However, compared with conventional mobile cloud computing …
DeepNap: Data-driven base station sleeping operations through deep reinforcement learning
Base station (BS) sleeping is an effective way to reduce the energy consumption of mobile
networks. Previous efforts to design sleeping control algorithms mainly rely on stochastic …
networks. Previous efforts to design sleeping control algorithms mainly rely on stochastic …
Multi-objective energy-efficient resource allocation for multi-RAT heterogeneous networks
Heterogeneous network (HetNet) integrated with multiple radio access technologies (RATs)
is a promising technique for satisfying the exponentially increasing traffic demand of future …
is a promising technique for satisfying the exponentially increasing traffic demand of future …
Deep reinforcement learning with spatio-temporal traffic forecasting for data-driven base station sleep control
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 …
densely deployed in radio access networks (RANs) to increase the network coverage and …
Energy-efficient M2M communications with mobile edge computing in virtualized cellular networks
As an important part of the Internet-of-Things (IoT), machine-to-machine (M2M)
communications have attracted great attention. In this paper, we introduce mobile edge …
communications have attracted great attention. In this paper, we introduce mobile edge …