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Genetic algorithm‐based content distribution strategy for F‐RAN architectures
Authors:Xujie Li  Ziya Wang  Ying Sun  Siyuan Zhou  Yanli Xu  Guoping Tan
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.
Keywords:content distribution  fog network  genetic algorithm  next‐generation access network  throughput analysis
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