Toward greener 5G and beyond radio access networks—A survey
LMP Larsen, HL Christiansen, S Ruepp… - IEEE Open journal of …, 2023 - ieeexplore.ieee.org
Mobile network traffic is increasing and so is the energy consumption. The Radio Access
Network (RAN) part is responsible for the largest share of the mobile network energy …
Network (RAN) part is responsible for the largest share of the mobile network energy …
Energy optimization with multi-sleeping control in 5G heterogeneous networks using reinforcement learning
The massive deployment of small cells in 5G networks represents an alternative to meet the
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …
ever increasing mobile data traffic and to provide very-high throughout by bringing the users …
Using reinforcement learning to reduce energy consumption of ultra-dense networks with 5G use cases requirements
In mobile networks, 5G Ultra-Dense Networks (UDNs) have emerged as they effectively
increase the network capacity due to cell splitting and densification. A Base Station (BS) is a …
increase the network capacity due to cell splitting and densification. A Base Station (BS) is a …
Energy-optimal end-to-end network slicing in cloud-based architecture
Network slicing is a promising technology for realizing the vision of supporting a wide range
of services with diverse and heterogeneous service requirements. With network slicing, the …
of services with diverse and heterogeneous service requirements. With network slicing, the …
Intelligent hierarchical NOMA-based network slicing in cell-free RAN for 6G systems
In order to cope with the demand of explosively increasing service diversity and quality,
network slicing has become the key technology of next-generation mobile communication …
network slicing has become the key technology of next-generation mobile communication …
Base station switching and sleep mode optimization with LSTM-based user prediction
G Jang, N Kim, T Ha, C Lee, S Cho - IEEE Access, 2020 - ieeexplore.ieee.org
The base station (BS) switching technique has recently attracted considerable attention for
reducing power consumption in wireless networks. In this paper, we propose a novel BS …
reducing power consumption in wireless networks. In this paper, we propose a novel BS …
Digital twin assisted risk-aware sleep mode management using deep Q-networks
Base stations (BSs) are the most energy-consuming segment of mobile networks. To reduce
the energy consumption of BSs, inactive components of BSs, with a certain …
the energy consumption of BSs, inactive components of BSs, with a certain …
An analytical energy performance evaluation methodology for 5G base stations
SKG Peesapati, M Olsson, M Masoudi… - … on wireless and …, 2021 - ieeexplore.ieee.org
The implementation of various base station (BS) energy saving (ES) features and the widely
varying network traffic demand makes it imperative to quantitatively evaluate the energy …
varying network traffic demand makes it imperative to quantitatively evaluate the energy …
Q-learning based radio resource adaptation for improved energy performance of 5G base stations
SKG Peesapati, M Olsson, M Masoudi… - 2021 IEEE 32nd …, 2021 - ieeexplore.ieee.org
Radio resource adaptation (RRA) is an effective strategy to reduce the energy consumption
(EC) of a base station (BS) under variable input traffic demand. By combining RRA with …
(EC) of a base station (BS) under variable input traffic demand. By combining RRA with …
Smarter base station sleeping for greener cellular networks
One approach to achieving greener cellular networks is to power them with renewable
energy. When there is insufficient renewable energy, base stations (BSs) with lower …
energy. When there is insufficient renewable energy, base stations (BSs) with lower …