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 …
Cooperative deep reinforcement learning for multiple-group NB-IoT networks optimization
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 …
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 …
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 …
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 …
[PDF][PDF] Intelligent Real-Time IoT Traffic Steering in 5G Edge Networks.
In the Next Generation Radio Networks (NGRN), there will be extreme massive connectivity
with the Heterogeneous Internet of Things (HetIoT) devices. The millimeter-Wave (mmWave) …
with the Heterogeneous Internet of Things (HetIoT) devices. The millimeter-Wave (mmWave) …
Design of deep learning model for radio resource allocation in 5G for massive iot device
With recent advancements in Internet of Things (IoT) communications, the demand for fastest
communication is an utmost concern of the IoT technology. The advent of 5G …
communication is an utmost concern of the IoT technology. The advent of 5G …
New reward-clipping mechanism in deep-learning enabled internet of things in 6G to improve intelligent transmission scheduling
M Alhartomi - 2023 IEEE 13th annual computing and …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) networks and apps have lately benefited from the use of artificial
intelligence (AI) to improve a significant amount of data. The integration of AI with 6G can …
intelligence (AI) to improve a significant amount of data. The integration of AI with 6G can …
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 …
Hypergraph based resource-efficient collaborative reinforcement learning for B5G massive IoT
F Yang, C Yang, J Huang, K Yu, S Garg… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Beyond 5G (B5G) networks rapidly growing to connect billions of Internet of Things (IoT)
devices and the dense deployment of IoT devices leads the large-scale network conflict and …
devices and the dense deployment of IoT devices leads the large-scale network conflict and …