Joint EH time and transmit power optimization based on DDPG for EH communications
L Li, H Xu, J Ma, A Zhou, J Liu - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Energy management and power allocation policy is considered for energy harvesting (EH)
communications. In this letter, we propose a joint optimization problem with the continuous …
communications. In this letter, we propose a joint optimization problem with the continuous …
Deep deterministic policy gradient (DDPG)-based energy harvesting wireless communications
To overcome the difficulties of charging the wireless sensors in the wild with conventional
energy supply, more and more researchers have focused on the sensor networks with …
energy supply, more and more researchers have focused on the sensor networks with …
Distributed power control for large energy harvesting networks: A multi-agent deep reinforcement learning approach
In this paper, we develop a multi-agent reinforcement learning (MARL) framework to obtain
online power control policies for a large energy harvesting (EH) multiple access channel …
online power control policies for a large energy harvesting (EH) multiple access channel …
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 …
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 …
Reinforcement learning exploration algorithms for energy harvesting communications systems
Prolonging the lifetime, and maximizing the throughput are important factors in designing an
efficient communications system, especially for energy harvesting-based systems. In this …
efficient communications system, especially for energy harvesting-based systems. In this …
Resource allocation for UAV-aided energy harvesting-powered D2D communications: A reinforcement learning-based scheme
YH Xu, QM Sun, W Zhou, G Yu - Ad Hoc Networks, 2022 - Elsevier
Abstract Unmanned Aerial Vehicle (UAV) has become one of the most significant
component in future wireless networks since its on-demand and cost-effective deployment …
component in future wireless networks since its on-demand and cost-effective deployment …
Energy-efficient scheduling and power allocation for energy harvesting-based D2D communication
Y Luo, P Hong, R Su - GLOBECOM 2017-2017 IEEE Global …, 2017 - ieeexplore.ieee.org
Energy Harvesting (EH)-based Device-to-Device (D2D) communication brings some
challenges in resources management due to the joint influence of the volatility of available …
challenges in resources management due to the joint influence of the volatility of available …
Multi-agent deep reinforcement learning based power control for large energy harvesting networks
The goal in this work is to design online power control policies for large energy harvesting
(EH) networks where, due to large energy overhead involved in the exchange of state …
(EH) networks where, due to large energy overhead involved in the exchange of state …
Deep reinforcement learning optimal transmission policy for communication systems with energy harvesting and adaptive MQAM
M Li, X Zhao, H Liang, F Hu - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
In this paper, we study an optimal transmission problem in a point-to-point wireless
communication system with energy harvesting and limited battery at its transmitter …
communication system with energy harvesting and limited battery at its transmitter …