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Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Lear...

Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Lear...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2623201249

Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach

About this item

Full title

Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach

Publisher

New York: Springer US

Journal title

Journal of network and systems management, 2022-04, Vol.30 (2), Article 29

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

In current era, the next generation networks like 5th generation (5G) and 6th generation (6G) networks requires high security, low latency with a high reliable standards and capacity. In these networks, reconfigurable wireless network slicing is considered as one of the key element for 5G and 6G networks. A reconfigurable slicing allows the operato...

Alternative Titles

Full title

Highly Accurate and Reliable Wireless Network Slicing in 5th Generation Networks: A Hybrid Deep Learning Approach

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2623201249

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2623201249

Other Identifiers

ISSN

1064-7570

E-ISSN

1573-7705

DOI

10.1007/s10922-021-09636-2

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