Deep reinforcement learning for resource management on network slicing: A survey
JA Hurtado Sánchez, K Casilimas… - Sensors, 2022 - mdpi.com
Network Slicing and Deep Reinforcement Learning (DRL) are vital enablers for achieving
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
5G and 6G networks. A 5G/6G network can comprise various network slices from unique or …
In-network machine learning using programmable network devices: A survey
Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …
classification and anomaly detection to network configuration. However, machine learning …
Intelligent routing method based on Dueling DQN reinforcement learning and network traffic state prediction in SDN
L Huang, M Ye, X Xue, Y Wang, H Qiu, X Deng - Wireless Networks, 2024 - Springer
The traditional routing method makes use of limited information on the network links to make
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …
routing decisions, which makes it difficult to adapt to the dynamic and complex network and …
A fuzzy delay-bandwidth guaranteed routing algorithm for video conferencing services over SDN networks
J Gong, A Rezaeipanah - Multimedia Tools and Applications, 2023 - Springer
Video conferencing is one of the advanced technologies for users that allows online
communication despite long distances. High quality communication and ongoing support for …
communication despite long distances. High quality communication and ongoing support for …
Advanced Intrusion Detection in MANETs: A Survey of Machine Learning and Optimization Techniques for Mitigating Black/Gray Hole Attacks
SM Hassan, MM Mohamad, FB Muchtar - IEEE Access, 2024 - ieeexplore.ieee.org
Mobile Ad Hoc Networks (MANETs) are dynamic networks without fixed infrastructure,
making them particularly vulnerable to security threats such as black and gray hole attacks …
making them particularly vulnerable to security threats such as black and gray hole attacks …
WOAD3QN-RP: An intelligent routing protocol in wireless sensor networks—A swarm intelligence and deep reinforcement learning based approach
X Yang, J Yan, D Wang, Y Xu, G Hua - Expert Systems with Applications, 2024 - Elsevier
Abstract Wireless Sensor Networks (WSN) are a crucial part of the Internet of Things (IoT),
and research on WSN routing protocols has always been a hot topic in academia. However …
and research on WSN routing protocols has always been a hot topic in academia. However …
GRL-PS: Graph embedding-based DRL approach for adaptive path selection
W Wei, L Fu, H Gu, Y Zhang, T Zou… - … on Network and …, 2023 - ieeexplore.ieee.org
Forwarding path selection for data traffic is one of the most fundamental operations in
computer networks, whose performance drastically impacts both transmission efficiency and …
computer networks, whose performance drastically impacts both transmission efficiency and …
Balancing module in evolutionary optimization and Deep Reinforcement Learning for multi-path selection in Software Defined Networks
Abstract Software Defined Network (SDN) has been used in many organizations due to its
efficiency in transmission. Machine learning techniques have been applied in SDN to …
efficiency in transmission. Machine learning techniques have been applied in SDN to …
A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches
This paper provides a comprehensive survey of the integration of graph neural networks
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
(GNN) and deep reinforcement learning (DRL) in end-to-end (E2E) networking solutions …
Iris: Towards intelligent reliable routing for software defined satellite networks
W Wei, L Fu, H Gu, X Lu, L Liu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Satellite networks have long been regarded as a vital component of space communication
systems, which provide integrated satellite-terrestrial broadband access in seamless …
systems, which provide integrated satellite-terrestrial broadband access in seamless …