A Conditional Generative Adversarial Network Based Approach for Network Slicing in Heterogeneous Vehicular Networks
نویسندگان
چکیده
Heterogeneous Vehicular Network (HetVNET) is a highly dynamic type of network that changes very quickly. Regarding this feature HetVNETs and the emerging notion slicing in 5G technology, we propose hybrid intelligent Software-Defined (SDN) Functions Virtualization (NFV) based architecture. In paper, apply Conditional Generative Adversarial (CGAN) to augment information successful scenarios are related congestion dynamicity. The results show proposed CGAN can be trained order generate valuable data. generated data similar real they used blueprints HetVNET slices.
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ژورنال
عنوان ژورنال: Telecom
سال: 2021
ISSN: ['2673-4001']
DOI: https://doi.org/10.3390/telecom2010009