Genetic algorithm‐based content distribution strategy for F‐RAN architectures

Fog radio access network (F‐RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm‐based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F‐RAN. First, an...

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Main Authors: Xujie Li, Ziya Wang, Ying Sun, Siyuan Zhou, Yanli Xu, Guoping Tan
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2019-03-01
Series:ETRI Journal
Subjects:
Online Access:https://doi.org/10.4218/etrij.2018-0254
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author Xujie Li
Ziya Wang
Ying Sun
Siyuan Zhou
Yanli Xu
Guoping Tan
author_facet Xujie Li
Ziya Wang
Ying Sun
Siyuan Zhou
Yanli Xu
Guoping Tan
author_sort Xujie Li
collection DOAJ
description Fog radio access network (F‐RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm‐based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F‐RAN. First, an F‐RAN system model is presented that includes a certain number of randomly distributed fog access points (F‐APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F‐RANs is described. Third, the details of the proposed optimal genetic algorithm‐based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.
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spelling doaj.art-a24a28f125ad43eb9316d6b29c280a6c2022-12-21T23:00:42ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632019-03-0141334835710.4218/etrij.2018-025410.4218/etrij.2018-0254Genetic algorithm‐based content distribution strategy for F‐RAN architecturesXujie LiZiya WangYing SunSiyuan ZhouYanli XuGuoping TanFog radio access network (F‐RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm‐based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F‐RAN. First, an F‐RAN system model is presented that includes a certain number of randomly distributed fog access points (F‐APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F‐RANs is described. Third, the details of the proposed optimal genetic algorithm‐based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.https://doi.org/10.4218/etrij.2018-0254content distributionfog networkgenetic algorithmnext‐generation access networkthroughput analysis
spellingShingle Xujie Li
Ziya Wang
Ying Sun
Siyuan Zhou
Yanli Xu
Guoping Tan
Genetic algorithm‐based content distribution strategy for F‐RAN architectures
ETRI Journal
content distribution
fog network
genetic algorithm
next‐generation access network
throughput analysis
title Genetic algorithm‐based content distribution strategy for F‐RAN architectures
title_full Genetic algorithm‐based content distribution strategy for F‐RAN architectures
title_fullStr Genetic algorithm‐based content distribution strategy for F‐RAN architectures
title_full_unstemmed Genetic algorithm‐based content distribution strategy for F‐RAN architectures
title_short Genetic algorithm‐based content distribution strategy for F‐RAN architectures
title_sort genetic algorithm based content distribution strategy for f ran architectures
topic content distribution
fog network
genetic algorithm
next‐generation access network
throughput analysis
url https://doi.org/10.4218/etrij.2018-0254
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AT siyuanzhou geneticalgorithmbasedcontentdistributionstrategyforfranarchitectures
AT yanlixu geneticalgorithmbasedcontentdistributionstrategyforfranarchitectures
AT guopingtan geneticalgorithmbasedcontentdistributionstrategyforfranarchitectures