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Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC s...

Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6d2d76342dfd442c82581a257609e827

Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

About this item

Full title

Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

Publisher

Cham: Springer International Publishing

Journal title

EURASIP journal on wireless communications and networking, 2020-12, Vol.2020 (1), p.1-21, Article 250

Language

English

Formats

Publication information

Publisher

Cham: Springer International Publishing

More information

Scope and Contents

Contents

Ultra-reliable and low-latency communication (URLLC) in mobile networks is still one of the core solutions that require thorough research in 5G and beyond. With the vigorous development of various emerging URLLC technologies, resource shortages will soon occur even in mmWave cells with rich spectrum resources. As a result of the large radio resourc...

Alternative Titles

Full title

Reinforcement learning-based hybrid spectrum resource allocation scheme for the high load of URLLC services

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6d2d76342dfd442c82581a257609e827

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6d2d76342dfd442c82581a257609e827

Other Identifiers

ISSN

1687-1499,1687-1472

E-ISSN

1687-1499

DOI

10.1186/s13638-020-01872-5

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