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  • 标题:NETWORK TRAFFIC PREDICTION IN 4G NETWORK BASED ON NEURAL NETWORK FOR IMPROVING QOS
  • 本地全文:下载
  • 作者:K.S SAGAR REDDY ; DR S.VARADARAJAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2014
  • 卷号:62
  • 期号:1
  • 出版社:Journal of Theoretical and Applied
  • 摘要:Many mechanisms based on bandwidth reservation and handoff mechanism is proposed in the literature to decrease the connection dropping probability for handoffs in mobile 4G communications. The handoff events occur at higher rate in packet-switched fourth generation mobile communication networks than in traditional cellular systems. Hence, an efficient bandwidth reservation mechanism for the neighboring cells is critical in the process of handoff during the connection of multimedia calls. This mechanism avoids the undesired force termination and waste of limited bandwidth in fourth generation mobile communication networks, particularly when the mobility of the mobility device is high. In this paper, a phased solution of priority detection, mobility scheduling and effective bandwidth estimation have been proposed. The motivation of the phases is to provide the Quality of Service (QoS) at regular communication and high mobility condition by considering the physical parameters. Meanwhile, a neural network based service model is incorporated to accommodate new metrics used in processing handoffs and task scheduling in fourth generation networks. This mechanism provides the advantages in terms of choosing the tasks in a priority based scenario and providing un-interrupted service at the time of handoffs as well as an effective way of utilizing bandwidth.
  • 关键词:Neural Network; Iterative Process; Bandwidth Estimation; Weightages; Scheduler
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