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 …
[HTML][HTML] Energy-efficiency and performance in communication networks: Analyzing energy-performance trade-offs in communication networks and their implications …
F Kaup - 2017 - tuprints.ulb.tu-darmstadt.de
The demand on communication networks has increased over the past years and is predicted
to continue for the foreseeable future [Cis16]. Cellular network access with a compound …
to continue for the foreseeable future [Cis16]. Cellular network access with a compound …
Machine learning and analytical power consumption models for 5G base stations
N Piovesan, D López-Pérez… - IEEE …, 2022 - ieeexplore.ieee.org
The energy consumption of the fifth generation (5G) of mobile networks is one of the major
concerns of the telecom industry. However, there is not currently an accurate and tractable …
concerns of the telecom industry. However, there is not currently an accurate and tractable …
Energy optimisation for mobile device power consumption: A survey and a unified view of modelling for a comprehensive network simulation
The need for the analysis of energy consumption has become greater due to the constrained
resources of mobile devices afforded by the increased usage of mobile devices and the …
resources of mobile devices afforded by the increased usage of mobile devices and the …
Energy saving and network performance: a trade-off approach
C Panarello, A Lombardo, G Schembra… - Proceedings of the 1st …, 2010 - dl.acm.org
Power consumption of the Information and Communication Technology sector (ICT) has
recently become a key challenge. In particular, actions to improve energy-efficiency of …
recently become a key challenge. In particular, actions to improve energy-efficiency of …
Modeling the total energy consumption of mobile network services and applications
Reducing the energy consumption of Internet services requires knowledge about the
specific traffic and energy consumption characteristics, as well as the associated end-to-end …
specific traffic and energy consumption characteristics, as well as the associated end-to-end …
Energy saving: Scaling network energy efficiency faster than traffic growth
As the mobile traffic is expected to continue its exponential growth in the near future, energy
efficiency has gradually become a must criterion for wireless network design. Three …
efficiency has gradually become a must criterion for wireless network design. Three …
A novel traffic prediction method using machine learning for energy efficiency in service provider networks
This paper presents a systematic approach for solving complex prediction problems with a
focus on energy efficiency. The approach involves using neural networks, specifically …
focus on energy efficiency. The approach involves using neural networks, specifically …
ECO6G: Energy and cost analysis for network slicing deployment in beyond 5G networks
Fifth-generation (5G) wireless technology promises to be the critical enabler of use cases far
beyond smartphones and other connected devices. This next-generation 5G wireless …
beyond smartphones and other connected devices. This next-generation 5G wireless …
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 …