Energy-efficient ultra-dense network with deep reinforcement learning
With the explosive growth in mobile data traffic, ultra-dense network (UDN) where a large
number of small cells are densely deployed on top of macro cells has received a great deal …
number of small cells are densely deployed on top of macro cells has received a great deal …
Energy-efficient ultra-dense network using deep reinforcement learning
With the explosive growth in mobile data traffic, pursuing energy efficiency has become one
of key challenges for the next generation communication systems. In recent years, an …
of key challenges for the next generation communication systems. In recent years, an …
Energy-efficient ultra-dense network using LSTM-based deep neural networks
As a means to achieve thousand-fold throughput improvements of future wireless
communications, ultra-dense network (UDN) where a large number of small cells are …
communications, ultra-dense network (UDN) where a large number of small cells are …
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 …
Deep learning-based network-wide energy efficiency optimization in ultra-dense small cell networks
In ultra-dense small cell networks (UDSCNs), where a significant number of small cell base
stations (SBSs) coexist, the amount of power consumed at the SBSs can be extremely high …
stations (SBSs) coexist, the amount of power consumed at the SBSs can be extremely high …
Deep Q-learning based dynamic resource allocation for self-powered ultra-dense networks
Though enhancing the capacity and coverage of cellular networks to meet the explosive
increasing of traffic demands, Ultra-Dense Network (UDN) suffers from great power …
increasing of traffic demands, Ultra-Dense Network (UDN) suffers from great power …
Energy and spectrum efficient cell switch-off with channel and power allocation in ultra-dense networks: A deep reinforcement learning approach
Z Rezaei, BS Ghahfarokhi - Computer Networks, 2023 - Elsevier
The high density of small cells in the Ultra-Dense Network (UDN) has increased the capacity
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
and the coverage of Fifth Generation (5G) cellular networks. However, with increasing the …
Throughput maximization by deep reinforcement learning with energy cooperation for renewable ultradense IoT networks
Y Li, X Zhao, H Liang - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Ultradense network (UDN) is considered as one of the key technologies for the explosive
growth of mobile traffic demand on the Internet of Things (IoT). It enhances network capacity …
growth of mobile traffic demand on the Internet of Things (IoT). It enhances network capacity …
Energy efficient clustering and resource allocation strategy for ultra-dense networks: A machine learning framework
N Sharma, K Kumar - IEEE Transactions on Network and …, 2022 - ieeexplore.ieee.org
The ultra-dense network structure of 5G with dense femto-cells deployment, is identified as a
prospective way out for the problem of growing demand for cellular services. However …
prospective way out for the problem of growing demand for cellular services. However …
Deep reinforcement learning for cell on/off energy saving on wireless networks
JS Pujol–Roigl, S Wu, Y Wang… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
Increased network traffic demands have led to ex-tremely dense network deployments. This
translates to significant growth in energy consumption at the radio access networks …
translates to significant growth in energy consumption at the radio access networks …