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Genetic algorithm‐based content distribution strategy for F‐ <scp>RAN</scp> architectures
- 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.
- Subjects :
- content distribution
General Computer Science
Computer science
lcsh:Electronics
lcsh:TK7800-8360
next‐generation access network
lcsh:Telecommunication
Electronic, Optical and Magnetic Materials
throughput analysis
lcsh:TK5101-6720
Content distribution
Ran
Genetic algorithm
genetic algorithm
Electrical and Electronic Engineering
Algorithm
fog network
Subjects
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