Very high data rate support for mobile cloud services using sdn-based heterogeneous carrier aggregation

Dong Ha Kim, Cheolhoon Kim, Yumi Oh, Sungwon Lee, Seung Gwan Lee

Research output: Contribution to journalArticlepeer-review

Abstract

Mobile traffc is currently the most important traffc on the Internet, both domestically and internationally. This is predominantly attributable to widespread cloud computing-based services on mobile networks. Fifth generation (5G) mobile networks are expected to comfortably accommodate this type of traffc by supporting 1,000 times faster speeds than conventional 4G. However, commercial implementation of 5G mobile is targeted for the year 2020. Therefore, interim accommodation approaches are needed. In essence, 5G mobile networks are an evolution of 4G in which a licensed spectrum that generates revenue from user data transfer is being considered. Consequently, more cost-effective methods that utilize the unlicensed spectrum are also desired. Meanwhile, concomitant with pursuit of miniaturization and reduction in weight, the number and types of network interfaces in recent mobile devices are increasing. We propose a method for carrier aggregation of multiple heterogeneous wireless links based on softwarede ffned networking (SDN) that controls traffc and manages the wireless interfaces of mobile devices effectively when multiple radio access technologies are available. Evaluations conducted of the proposed method on an experimental testbed developed using the OpenStack cloud computing platform with aggregated multiple radio access technology environments indicate that it is feasible and provides higher data rate.

Original languageEnglish
Pages (from-to)983-1011
Number of pages29
JournalInternational Journal of Software Engineering and Knowledge Engineering
Volume24
Issue number7
DOIs
Publication statusPublished - 29 Sept 2014

Bibliographical note

Publisher Copyright:
© World Scientific Publishing Company.

Keywords

  • Mobile cloud service
  • SDN
  • carrier aggregation
  • heterogeneous network

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