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Genetic algorithm‐based content distribution strategy for F‐ <scp>RAN</scp> architectures

Authors :
Xujie Li
Siyuan Zhou
Guoping Tan
Sun Ying
Ziya Wang
Yanli Xu
Source :
ETRI Journal, Vol 41, Iss 3, Pp 348-357 (2019)
Publication Year :
2019
Publisher :
Wiley, 2019.

Abstract

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.

Details

ISSN :
22337326 and 12256463
Volume :
41
Database :
OpenAIRE
Journal :
ETRI Journal
Accession number :
edsair.doi.dedup.....ae7806b3e95473d207c4ad79fa98d4a4
Full Text :
https://doi.org/10.4218/etrij.2018-0254