Energy efficiency optimization for SWIPT-based D2D-underlaid cellular networks using multiagent deep reinforcement learning

S Muy, D Ron, JR Lee - IEEE Systems Journal, 2021 - ieeexplore.ieee.org
In this article, we study the optimization of energy efficiency in wireless device-to-device
(D2D-underlaid cellular networks where multiple D2D pairs adopt simultaneous wireless …
被引用次数：11 相关文章 所有 3 个版本
[PDF] ieee.org

Balancing fairness and energy efficiency in SWIPT-based D2D networks: Deep reinforcement learning based approach

EJ Han, M Sengly, JR Lee - IEEE Access, 2022 - ieeexplore.ieee.org
In this study, we propose a method to balance between user fairness and energy efficiency
of users in the context of simultaneous wireless information and power transfer (SWIPT) …
被引用次数：9 相关文章 所有 4 个版本

Joint optimization of spectral efficiency and energy harvesting in D2D networks using deep neural network

M Sengly, K Lee, JR Lee - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this work, we study the joint optimization of energy harvesting and spectrum efficiency in
wireless device-to-device (D2D) networks where multiple D2D pairs adopt simultaneous …
被引用次数：11 相关文章 所有 3 个版本
[PDF] ieee.org

Energy-efficient stable matching for resource allocation in energy harvesting-based device-to-device communications

Z Zhou, C Gao, C Xu, T Chen, D Zhang… - IEEE access, 2017 - ieeexplore.ieee.org
The explosive growth of mobile date traffic and ubiquitous mobile services cause an high
energy consumption in mobile devices with limited energy supplies, which has become a …
被引用次数：103 相关文章 所有 7 个版本
[PDF] researchgate.net

Power optimization in device-to-device communications: A deep reinforcement learning approach with dynamic reward

Z Ji, AK Kiani, Z Qin, R Ahmad - IEEE Wireless …, 2020 - ieeexplore.ieee.org
Device-to-Device (D2D) communication can be used to improve system capacity and energy
efficiency (EE) in cellular networks. One of the critical challenges in D2D communications is …
被引用次数：33 相关文章 所有 4 个版本
[PDF] ieee.org

Energy efficient resource allocation for wireless power transfer-supported D2D communication with battery

M Zeng, Y Luo, H Jiang - IEEE Access, 2019 - ieeexplore.ieee.org
Recently, researchers pay much attention to Wireless Power Transfer-supported Device-to-
Device (D2D) Communication underlaying Cellular Network (WPT-DCCN), which has …
被引用次数：5 相关文章 所有 3 个版本

Learning-based resource management in device-to-device communications with energy harvesting requirements

K Lee, JP Hong, H Seo, W Choi - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we propose a resource management method based on deep learning, which
controls both the transmit power and the power splitting ratio to maximize the sum rate with …
被引用次数：34 相关文章 所有 2 个版本

Resource and power allocation in SWIPT-enabled device-to-device communications based on a nonlinear energy harvesting model

H Yang, Y Ye, X Chu, M Dong - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Due to the limited battery capacity in mobile devices, simultaneous wireless information and
power transfer (SWIPT) has been proposed as a promising solution to improve the energy …
被引用次数：54 相关文章 所有 2 个版本
[PDF] usask.ca

Reinforcement-learning-based resource allocation for energy-harvesting-aided D2D communications in IoT networks

A Omidkar, A Khalili, HH Nguyen… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
This article proposes a novel approach to improve the energy efficiency (EE) of an energy-
harvesting (EH)-enabled IoT network supported by simultaneous wireless information and …
被引用次数：29 相关文章 所有 4 个版本

Energy-efficient resource allocation for energy harvesting-powered D2D communications underlaying cellular networks

K Wang, W Heng, J Hu, X Li… - 2018 IEEE 88th Vehicular …, 2018 - ieeexplore.ieee.org
This paper investigates the energy-efficient resource allocation problem for the energy
harvesting-powered device-to-device (D2D) communications underlaying cellular networks …
被引用次数：6 相关文章