Reinforcement learning for traffic-adaptive sleep mode management in 5G networks

M Masoudi, MG Khafagy, E Soroush… - 2020 IEEE 31st …, 2020 - ieeexplore.ieee.org
In mobile networks, base stations (BSs) have the largest share in energy consumption. To
reduce BS energy consumption, BS components with similar (de) activation times can be …
被引用次数：30 相关文章
[HTML] diva-portal.org

[HTML][HTML] Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks

M Masoudi, MG Khagagy, E Soroush… - 2020 IEEE 31st …, 2020 - diva-portal.org
The ever-increasing energy consumption of mobile networks has concerned operators
about their growing network running costs. Among the different segments of mobile …

[引用][C] Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks

M Masoudi, MG Khafagy, E Soroush… - 2020 IEEE 31st Annual …, 2020 - cir.nii.ac.jp
Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks | CiNii
Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 …

Reinforcement learning for traffic-adaptive sleep mode management in 5G networks

M Masoudi, MG Khafagy, E Soroush… - … on Personal, Indoor …, 2020 - flore.unifi.it
In mobile networks, base stations (BSs) have the largest share in energy consumption. To
reduce BS energy consumption, BS components with similar (de) activation times can be …
[PDF] researchgate.net

[PDF][PDF] Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks

M Masoudi, MG Khafagy, E Soroush, D Giacomelli… - researchgate.net
In mobile networks, base stations (BSs) have the largest share in energy consumption. To
reduce BS energy consumption, BS components with similar (de) activation times can be …
[PDF] academia.edu

[PDF][PDF] Reinforcement Learning for Traffic-Adaptive Sleep Mode Management in 5G Networks

M Masoudi, MG Khafagy, E Soroush, D Giacomelli… - academia.edu
The ever-increasing energy consumption of mobile networks has concerned operators
about their growing network running costs. Among the different segments of mobile …