Deep deterministic policy gradient based dynamic power control for self-powered ultra-dense networks
H Li, T Lv, X Zhang - 2018 IEEE Globecom Workshops (GC …, 2018 - ieeexplore.ieee.org
By densely deploying the base stations (BSs), Ultra Dense Network (UDN) exhibits strong
potential to enhance the network capacity, while leading to huge power consumption and a …
potential to enhance the network capacity, while leading to huge power consumption and a …
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 …
Deep reinforcement learning-assisted energy harvesting wireless networks
J Ye, H Gharavi - IEEE transactions on green communications …, 2020 - ieeexplore.ieee.org
Heterogeneous ultra-dense networking (HUDN) with energy harvesting technology is a
promising approach to deal with the ever-growing traffic that can severely impact the power …
promising approach to deal with the ever-growing traffic that can severely impact the power …
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 …
Collaborative multi-BS power management for dense radio access network using deep reinforcement learning
Network energy efficiency is a main pillar in the design and operation of wireless
communication systems. In this paper, we investigate a dense radio access network (dense …
communication systems. In this paper, we investigate a dense radio access network (dense …
Deep reinforcement learning based dynamic resource allocation in 5G ultra-dense networks
Z Liu, X Chen, Y Chen, Z Li - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The rapid development of Internet of things (IoT) technology has promoted the densification
of network infrastructure. Ultra-dense networks (UDN) will become a key technology in 5G …
of network infrastructure. Ultra-dense networks (UDN) will become a key technology in 5G …
Deep learning based online power control for large energy harvesting networks
In this paper, we propose a deep learning based approach to design online power control
policies for large EH networks, which are often intractable stochastic control problems. In the …
policies for large EH networks, which are often intractable stochastic control problems. In the …
Intelligent cloud-edge collaborations assisted energy-efficient power control in heterogeneous networks
L Zhang, J Peng, J Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We consider a typical heterogeneous network (HetNet), which consists of a macro base
station (BS) and multiple small BSs sharing the same spectrum band. Since the spectrum …
station (BS) and multiple small BSs sharing the same spectrum band. Since the spectrum …
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 …
Deep learning-aided user association and power control with renewable energy sources
The renewable energy source (RES)-powered small cell base station (SBS) is a promising
technology for the next-generation networks because RESs provide sustainable energy …
technology for the next-generation networks because RESs provide sustainable energy …