Neural networks for cellular base station switching
The adoption of base station sleep modes is considered one of the most effective
approaches for the reduction of the energy consumption of radio access networks. Sleep …
approaches for the reduction of the energy consumption of radio access networks. Sleep …
Minimizing base stations' ON/OFF switchings in self-organizing heterogeneous networks: A distributed satisfactory framework
The deployment of heterogeneous networks (HetNets) can significantly boost the network
capacity. However, the large number of small cell base stations (SBSs) deployed in HetNets …
capacity. However, the large number of small cell base stations (SBSs) deployed in HetNets …
Load-aware cell switching in ultra-dense networks: An artificial neural network approach
Most online cell switching solutions are sub-optimal because they are computationally
demanding, and thus adapt slowly to a dynamically changing network environments …
demanding, and thus adapt slowly to a dynamically changing network environments …
Energy efficiency in next generation cellular networks
AI Abubakar - 2022 - theses.gla.ac.uk
There is an exponential growth in the energy consumption of cellular networks due to the
surge in data traffic, explosion of handheld and Internet-of-Things (IoT) devices …
surge in data traffic, explosion of handheld and Internet-of-Things (IoT) devices …
[PDF][PDF] Energy saving in cellular base stations under the control of supervised neural networks
I Donevski - 2018 - webthesis.biblio.polito.it
Energy consumption due to ICT is a consistent ever-increasing trend. One of the main
culprits is the booming global dependence on cellular devices that obligate expansion of …
culprits is the booming global dependence on cellular devices that obligate expansion of …