Resource allocation for network slicing in dynamic multi-tenant networks: A deep reinforcement learning approach

Y Xie, Y Kong, L Huang, S Wang, S Xu, X Wang… - Computer …, 2022 - Elsevier
To support the wide range of 5G use cases in a cost-efficient way, network slicing has been
considered a promising solution, which makes it possible to serve multiple customized and …

Traffic-aware cell management for green ultradense small-cell networks

Z Li, D Grace, P Mitchell - IEEE Transactions on Vehicular …, 2016 - ieeexplore.ieee.org
To reduce the power consumption of fifth-generation ultradense small-cell networks, base
stations can be switched to low-power sleep modes when local traffic levels are low. In this …

A novel multiobjective cell switch-off framework for cellular networks

DG González, J Hämäläinen, H Yanikomeroglu… - IEEE …, 2016 - ieeexplore.ieee.org
Cell switch-off (CSO) is recognized as a promising approach to reduce the energy
consumption in the next-generation cellular networks. However, CSO poses serious …

Sector and site switch-off regular patterns for energy saving in cellular networks

T Beitelmal, SS Szyszkowicz… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Cell switch-off (CSO) is an important approach to reducing energy consumption in cellular
networks during off-peak periods. CSO addresses the research question of which cells to …

[HTML][HTML] A self-organizing base station sleeping and user association strategy for dense cellular networks

B Post, S Borst, H van den Berg - Wireless Networks, 2021 - Springer
Due to the rising concerns of energy consumption in wireless networks, base station (BS)
sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we …

[HTML][HTML] Transfer restless multi-armed bandit policy for energy-efficient heterogeneous cellular network

N Modi, P Mary, C Moy - EURASIP Journal on Advances in Signal …, 2019 - Springer
This paper proposes a learning policy to improve the energy efficiency (EE) of
heterogeneous cellular networks. The combination of active and inactive base stations (BS) …

A scalable multimode base station switching model for green cellular networks

AS Alam, LS Dooley - 2015 IEEE Wireless Communications …, 2015 - ieeexplore.ieee.org
Recently, base station (BS) sleeping has emerged as a viable conservation strategy for
energy efficient communication networks. Switching-off particular BS during low-traffic …

Multi-criteria decision for small cell switch off in ultra-dense LTE networks

A Dudnikova, P Dini, L Giupponi… - 2015 13th International …, 2015 - ieeexplore.ieee.org
The concept of a densely deployed heterogeneous network is one of the main approaches
of modern wireless networking research to satisfy the growth of the traffic demand. However …

Machine learning and statistical decision making for green radio

N Modi - 2017 - theses.hal.science
Cette thèse étudie les techniques de gestion intelligente du spectre et de topologie des
réseaux via une approche radio intelligente dans le but d'améliorer leur capacité, leur …

A voyage-based cooperative resource allocation scheme in maritime broadband access network

A Xiao, N Ge, L Yin - 2017 IEEE 86th Vehicular Technology …, 2017 - ieeexplore.ieee.org
Increasing marine activities taking place within the exclusive economic zone (EEZ) have
made broadband maritime communications very attractive in recent years. In this paper, a …