Resource allocation for multi-UAV assisted IoT networks: A deep reinforcement learning approach

YY Munaye, RT Juang, HP Lin… - … on Pervasive Artificial …, 2020 - ieeexplore.ieee.org
The wireless communication system for the massively heterogeneous Internet of Things
(IoT) network hinders the allocation of resources. For this study, an unmanned aerial vehicle …
被引用次数：11 相关文章 所有 3 个版本

Game theory-based energy efficiency optimization model for the Internet of Things

X Zeng - Computer communications, 2022 - Elsevier
This paper conducts a game-theoretic based optimization study on the energy efficiency of
the Internet of Things (IoT). For the problem that wireless sensor node information in the IoT …
被引用次数：15 相关文章 所有 2 个版本

Deep reinforcement learning resource allocation in wireless sensor networks with energy harvesting and relay

B Zhao, X Zhao - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Green wireless communications have been extensively studied in wireless sensor networks
(WSNs), including the use of new energy, renewable energy, and low-power consumption …
被引用次数：27 相关文章

Deep-reinforcement-learning-based sustainable energy distribution for wireless communication

G Muhammad, MS Hossain - IEEE Wireless Communications, 2021 - ieeexplore.ieee.org
Many countries and organizations have proposed smart city projects to address the
exponential growth of the population by promoting and developing a new paradigm for …
被引用次数：14 相关文章 所有 2 个版本

Deep reinforcement learning aided computation offloading and resource allocation for IoT

Y Gong, J Wang, T Nie - 2020 IEEE Computing …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) expects to incorporate massive machine-type (MCT) devices, such as
vehicles, sensors, and wearable devices, which brings a large number of application tasks …
被引用次数：9 相关文章

Deep reinforcement learning method for energy efficient resource allocation in next generation wireless networks

Z Zhang, H Qu, J Zhao, W Wang - … on computing, networks and internet of …, 2020 - dl.acm.org
The next generation wireless networks (NGWNs) of a base station (BS) with ultra-high dense
user equipment's deployment are studied. To extend the coverage area and increase the …
被引用次数：8 相关文章

Power allocation in HetNets with hybrid energy supply using actor-critic reinforcement learning

Y Wei, Z Zhang, FR Yu, Z Han - GLOBECOM 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
In order to utilize renewable energy and save conventional energy, energy saving traffic
offloading in heterogeneous networks (HetNets) has been attracting attentions by many …
被引用次数：26 相关文章 所有 4 个版本
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Intelligent Networking for Energy Harvesting Powered IoT Systems

W Zhang, C Pan, T Liu, J Zhang, M Sookhak… - ACM Transactions on …, 2024 - dl.acm.org
As the next-generation battery substitute for IoT system, energy harvesting (EH) technology
revolutionizes the IoT industry with environmental friendliness, ubiquitous accessibility, and …
被引用次数：2 相关文章 所有 2 个版本

Intelligent-driven green resource allocation for industrial Internet of Things in 5G heterogeneous networks

P Yu, M Yang, A Xiong, Y Ding, W Li… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is one of the important applications under the 5G
massive machine type of communication (mMTC) scenario. To ensure the high reliability of …
被引用次数：53 相关文章 所有 3 个版本

A deep reinforcement learning for user association and power control in heterogeneous networks

H Ding, F Zhao, J Tian, D Li, H Zhang - Ad Hoc Networks, 2020 - Elsevier
Heterogeneous network (HetNet) is a promising solution to satisfy the unprecedented
demand for higher data rate in the next generation mobile networks. Different from the …
被引用次数：63 相关文章