A new block-based reinforcement learning approach for distributed resource allocation in clustered IoT networks
Resource allocation and spectrum management are two major challenges in the massive
scale deployment of Internet of Things (IoT) and Machine-to-Machine (M2M) communication …
scale deployment of Internet of Things (IoT) and Machine-to-Machine (M2M) communication …
A GNN-based supervised learning framework for resource allocation in wireless IoT networks
The Internet of Things (IoT) allows physical devices to be connected over the wireless
networks. Although device-to-device (D2D) communication has emerged as a promising …
networks. Although device-to-device (D2D) communication has emerged as a promising …
Distributed Q-learning aided heterogeneous network association for energy-efficient IIoT
To achieve the goal of “Industrial 4.0,” cellular network with wide coverage has gradually
become an intensely important carrier for industrial Internet of Things (IIoT). The fifth …
become an intensely important carrier for industrial Internet of Things (IIoT). The fifth …
[HTML][HTML] A reinforcement-learning-based distributed resource selection algorithm for massive IoT
J Ma, S Hasegawa, SJ Kim, M Hasegawa - Applied Sciences, 2019 - mdpi.com
Massive IoT including the large number of resource-constrained IoT devices has gained
great attention. IoT devices generate enormous traffic, which causes network congestion. To …
great attention. IoT devices generate enormous traffic, which causes network congestion. To …
Deep-reinforcement-learning-based energy-efficient resource management for social and cognitive Internet of Things
Internet of Things (IoT) has attracted much interest due to its wide applications, such as
smart city, manufacturing, transportation, and healthcare. Social and cognitive IoT is capable …
smart city, manufacturing, transportation, and healthcare. Social and cognitive IoT is capable …
[HTML][HTML] A game-theoretic learning approach to QoE-driven resource allocation scheme in 5G-enabled IoT
To significantly promote Internet of Things (IoT) development, 5G network is enabled for
supporting IoT communications without the limitation of distance and location. This paper …
supporting IoT communications without the limitation of distance and location. This paper …
Reinforcement learning for real-time optimization in NB-IoT networks
NarrowBand Internet of Things (NB-IoT) is an emerging cellular-based technology that offers
a range of flexible configurations for massive IoT radio access from groups of devices with …
a range of flexible configurations for massive IoT radio access from groups of devices with …
Dynamic power allocation in IIoT based on multi-agent deep reinforcement learning
F Li, Z Liu, X Zhang, Y Yang - Neurocomputing, 2022 - Elsevier
With the rapidly growing fifth generation (5G) wireless data traffic, the cellular network has
gradually become an important mode for the Industrial Internet of Things (IIoT). To give full …
gradually become an important mode for the Industrial Internet of Things (IIoT). To give full …
Machine learning for resource management in cellular and IoT networks: Potentials, current solutions, and open challenges
Internet-of-Things (IoT) refers to a massively heterogeneous network formed through smart
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
devices connected to the Internet. In the wake of disruptive IoT with a huge amount and …
Deep reinforcement learning based algorithm for symbiotic radio iot throughput optimization in 6g network
GM Salama, SS Metwly, EG Shehata… - IEEE …, 2023 - ieeexplore.ieee.org
Internet of Things (IoT)-based 6G is expected to revolutionize our world. Various candidate
technologies have been proposed to meet IoT system requirements based on 6G, symbiotic …
technologies have been proposed to meet IoT system requirements based on 6G, symbiotic …