A Survey On Mean-Field Game for Dynamic Management and Control in Space-Air-Ground Network
The data traffic volume of the 6th generation (6G) mobile communication networks is huge,
and there are novel challenges in various communications services and scenarios. This …
and there are novel challenges in various communications services and scenarios. This …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
[HTML][HTML] Implementation of blockchain technology in integrated IoT networks for constructing scalable ITS systems in India
A Kharche, S Badholia, RK Upadhyay - Blockchain: Research and …, 2024 - Elsevier
The implementation of blockchain technology in integrated IoT networks for constructing
scalable Intelligent Transportation Systems (ITS) in India has the potential to revolutionize …
scalable Intelligent Transportation Systems (ITS) in India has the potential to revolutionize …
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …
Deep Reinforcement Learning-Based Content Caching in Satellite-Terrestrial Assisted Airborne Communications
Z Guo, F Tang, X Chen, L Luo… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
With the continuous development of airborne communication, the demand for efficient
internet access on airplanes has been increasing. To enhance the communication service …
internet access on airplanes has been increasing. To enhance the communication service …
Enabling efficient routing for traffic engineering in SDN with Deep Reinforcement Learning
X Pei, P Sun, Y Hu, D Li, B Chen, L Tian - Computer Networks, 2024 - Elsevier
Traffic Engineering (TE) is applied to optimize network transmission efficiency by managing
the routing of complicated traffic. Emerging Deep Reinforcement Learning (DRL) and …
the routing of complicated traffic. Emerging Deep Reinforcement Learning (DRL) and …
[HTML][HTML] Cognitive radio and machine learning modalities for enhancing the smart transportation system: A systematic literature review
Smart transportation systems implemented through vehicular ad hoc networks (VANET) offer
significant potential to improve safety. However, the network faces critical challenges related …
significant potential to improve safety. However, the network faces critical challenges related …
Computing Bipath Multicommodity Flows with Constraint Programming–Based Branch-and-Price-and-Cut
J Zhang, Y Magnouche, P Bauguion… - INFORMS Journal …, 2024 - pubsonline.informs.org
We propose a constraint programming (CP)–based branch-and-price-and-cut framework to
exactly solve bipath multicommodity flow (MCF): an MCF problem with two paths for each …
exactly solve bipath multicommodity flow (MCF): an MCF problem with two paths for each …
Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
Y Qin, Y Yang, F Tang, X Yao, M Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Space-Air-Ground Integrated Network (SAGIN) plays a pivotal role as a comprehensive
foundational network communication infrastructure, presenting opportunities for highly …
foundational network communication infrastructure, presenting opportunities for highly …
Scalable QoS-Aware Multipath Routing in Hybrid Knowledge-Defined Networking with Multi-Agent Deep Reinforcement Learning
Y Xiao, Y Yang, H Yu, J Liu - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Multipath routing remains a challenging issue in traffic engineering (TE) as existing solutions
are incapable of handling the evolving network dynamics and stringent quality-of-service …
are incapable of handling the evolving network dynamics and stringent quality-of-service …