Intelligent RAN Power Saving using Balanced Model Training in Cellular Networks
V Singh, M Gupta, C Maciocco - 2022 20th International …, 2022 - ieeexplore.ieee.org
optimizing power consumption of 5G systems and next generation technology deployments
is a critical problem. It is essential that the solution for optimizing power consumption takes …
is a critical problem. It is essential that the solution for optimizing power consumption takes …
Energy and resource efficiency by user traffic prediction and classification in cellular networks
There is a lack of research on the analysis of per-user traffic in cellular networks, for deriving
and following traffic-aware network management. In fact, the legacy design approach, in …
and following traffic-aware network management. In fact, the legacy design approach, in …
Deep convolutional neural network assisted reinforcement learning based mobile network power saving
S Wu, Y Wang, L Bai - IEEE Access, 2020 - ieeexplore.ieee.org
This paper addresses the power saving problem in mobile networks. Base station (BS)
power and network traffic volume (NTV) models are first established. The BS power is …
power and network traffic volume (NTV) models are first established. The BS power is …
Processing ANN traffic predictions for RAN energy efficiency
The field of networking, like many others, is experiencing a peak of interest in the use of
Machine Learning (ML) algorithms. In this paper, we focus on the application of ML tools to …
Machine Learning (ML) algorithms. In this paper, we focus on the application of ML tools to …
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
D López-Pérez, A De Domenico… - … Machine Learning in …, 2024 - ieeexplore.ieee.org
The energy consumption of mobile networks poses a critical challenge. Mitigating this
concern necessitates the deployment and optimization of network energy-saving solutions …
concern necessitates the deployment and optimization of network energy-saving solutions …
Traffic prediction based power saving in cellular networks: A machine learning method
In smart cities, green cellular networks play a crucial role to support wireless access for
numerous devices anywhere and anytime with efficiency and sustainability. Because base …
numerous devices anywhere and anytime with efficiency and sustainability. Because base …
Grant prediction-based dynamic power management for 5g to reduce mobile device energy consumption
P Brand, B Hackenberg, J Falk… - … and Mobile Computing …, 2022 - ieeexplore.ieee.org
Reducing the energy consumption of mobile phones is an essential design goal. Whereas
Dynamic Power Management (DPM) techniques have been proposed for cellular modems …
Dynamic Power Management (DPM) techniques have been proposed for cellular modems …
Adaptive predictive power management for mobile LTE devices
P Brand, J Falk, JA Sue, J Brendel… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Reducing the energy consumption of mobile phones is a crucial design goal for cellular
modem solutions for LTE and 5G NR standards. Most dynamic power management …
modem solutions for LTE and 5G NR standards. Most dynamic power management …
A predictive dynamic power management for LTE-Advanced mobile devices
JA Sue, P Brand, J Brendel… - 2018 IEEE Wireless …, 2018 - ieeexplore.ieee.org
Power consumption is a key challenge for LTE-Advanced or future 5G mobile devices and
current power management systems successfully achieve significant power savings …
current power management systems successfully achieve significant power savings …
Data-driven energy conservation in cellular networks: A systems approach
The energy consumption of mobile networks is already substantial nowadays, and only
expected to further increase with the roll-out of 5G. Base stations are the key elements in this …
expected to further increase with the roll-out of 5G. Base stations are the key elements in this …