An Intelligent Coordinator Design for Network Slicing in Service-Oriented Vehicular Networks

2020 ◽  
Author(s):  
Yaping Cui ◽  
Hao Zheng ◽  
Honggang Wang ◽  
Dapeng Wu
Keyword(s):  
Vehicular Networks ◽  
Network Slicing ◽  
Service Oriented

Online Auction-Based Resource Allocation for Service-Oriented Network Slicing

2019 ◽  
Vol 68 (8) ◽  
pp. 8063-8074 ◽  
Author(s):  
Liang Liang ◽  
Yanfei Wu ◽  
Gang Feng ◽  
Xin Jian ◽  
Yunjian Jia
Keyword(s):  
Resource Allocation ◽  
Online Auction ◽  
Network Slicing ◽  
Service Oriented

scholarly journals Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning

2020 ◽  
pp. 1-1
Author(s):  
Wen Wu ◽  
Nan Chen ◽  
Conghao Zhou ◽  
Mushu Li ◽  
Xuemin Shen ◽  
...  
Keyword(s):  
Vehicular Networks ◽  
Service Oriented ◽  
Constrained Learning

Security in service-oriented vehicular networks

2009 ◽  
Vol 16 (4) ◽  
pp. 16-22 ◽  
Author(s):  
Haojin Zhu ◽  
Rongxing Lu ◽  
Xuemin Shen ◽  
Xiaodong Lin
Keyword(s):  
Vehicular Networks ◽  
Service Oriented

scholarly journals Network Slicing for Service-Oriented Networks Under Resource Constraints

2017 ◽  
Vol 35 (11) ◽  
pp. 2512-2521 ◽  
Author(s):  
Nan Zhang ◽  
Ya-Feng Liu ◽  
Hamid Farmanbar ◽  
Tsung-Hui Chang ◽  
Mingyi Hong ◽  
...  
Keyword(s):  
Resource Constraints ◽  
Network Slicing ◽  
Service Oriented

scholarly journals A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular Networks

Telecom ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 141-154
Author(s):  
Farnoush Falahatraftar ◽  
Samuel Pierre ◽  
Steven Chamberland
Keyword(s):  
Vehicular Networks ◽  
Real Data ◽  
Software Defined Network ◽  
Network Congestion ◽  
Generative Adversarial Network ◽  
Network Slicing ◽  
Adversarial Network ◽  
Intelligent Software ◽  
Dynamic Type ◽  
Network Functions

Heterogeneous Vehicular Network (HetVNET) is a highly dynamic type of network that changes very quickly. Regarding this feature of HetVNETs and the emerging notion of network slicing in 5G technology, we propose a hybrid intelligent Software-Defined Network (SDN) and Network Functions Virtualization (NFV) based architecture. In this paper, we apply Conditional Generative Adversarial Network (CGAN) to augment the information of successful network scenarios that are related to network congestion and dynamicity. The results show that the proposed CGAN can be trained in order to generate valuable data. The generated data are similar to the real data and they can be used in blueprints of HetVNET slices.

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