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Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_zjdxxbc_e202210009

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

About this item

Full title

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Publisher

Hangzhou: Zhejiang University Press

Journal title

Frontiers of information technology & electronic engineering, 2022-10, Vol.23 (10), p.1546-1561

Language

English

Formats

Publication information

Publisher

Hangzhou: Zhejiang University Press

More information

Scope and Contents

Contents

Non-orthogonal multiple access (NOMA) based fog radio access networks (F-RANs) offer high spectrum efficiency, ultra-low delay, and huge network throughput, and this is made possible by edge computing and communication functions of the fog access points (F-APs). Meanwhile, caching-enabled F-APs are responsible for edge caching and delivery of a lar...

Alternative Titles

Full title

Resource allocation for network profit maximization in NOMA-based F-RANs: a game-theoretic approach

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_wanfang_journals_zjdxxbc_e202210009

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_wanfang_journals_zjdxxbc_e202210009

Other Identifiers

ISSN

2095-9184

E-ISSN

2095-9230

DOI

10.1631/FITEE.2100341

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