Reinforcement learning assisted bandwidth aware virtual network resource allocation

P Zhang, Y Su, J Wang, C Jiang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Space-air-ground integration to support seamless coverage of ground, satellite, airborne,
and marine communications, is likely to be a key trend in the 6G era. One of several key …

Network resource allocation strategy based on deep reinforcement learning

S Zhang, C Wang, J Zhang, Y Duan… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The traditional Internet has encountered a bottleneck in allocating network resources for
emerging technology needs. Network virtualization (NV) technology as a future network …

Cooperative multi-agent deep reinforcement learning for dynamic virtual network allocation with traffic fluctuations

A Suzuki, R Kawahara, S Harada - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network traffic and computing demand have been changing dramatically due to the growth
of various types of network services, eg, high-quality video delivery and operating system …

A continuous-decision virtual network embedding scheme relying on reinforcement learning

H Yao, S Ma, J Wang, P Zhang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …

Service-Oriented Network Resource Orchestration in Space-Air-Ground Integrated Network

J He, N Cheng, Z Yin, C Zhou, H Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Space-air-ground integrated networks (SAGINs) are envisioned to provide seamless
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …

Space-air-ground integrated multi-domain network resource orchestration based on virtual network architecture: A DRL method

P Zhang, C Wang, N Kumar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traditional ground wireless communication networks cannot provide high-quality services
for artificial intelligence (AI) applications such as intelligent transportation systems (ITS) due …

Design and evaluation of learning algorithms for dynamic resource management in virtual networks

R Mijumbi, JL Gorricho, J Serrat… - 2014 IEEE network …, 2014 - ieeexplore.ieee.org
Network virtualisation is considerably gaining attention as a solution to ossification of the
Internet. However, the success of network virtualisation will depend in part on how efficiently …

Adaptive-VNE: A flexible resource allocation for virtual network embedding algorithm

I Fajjari, N Aitsaadi, G Pujolle… - 2012 IEEE Global …, 2012 - ieeexplore.ieee.org
In this paper, we propose a new dynamic adaptive virtual network resource allocation
strategy named Adaptive-VNE to deal with the complexity and the inefficiency of resource …

Load-balanced virtual network embedding based on deep reinforcement learning for 6G regional satellite networks

R Zhu, G Li, Y Zhang, Z Fang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Regional satellite networks are capable of supporting denser coverage and more reliable
communications in the target area and hence have been viewed as an essential part of the …

[HTML][HTML] Multi-objective virtual network embedding algorithm based on Q-learning and curiosity-driven

M He, L Zhuang, S Tian, G Wang, K Zhang - EURASIP Journal on Wireless …, 2018 - Springer
Network virtualization is a vital technology that helps overcome shortcomings such as
network ossification of the current Internet architecture. However, virtual network embedding …