An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing

Kai Liang, Liqiang Zhao, Xiaoli Chu, Hsiao Hwa Chen

Research output: Contribution to journalArticle

49 Citations (Scopus)

Abstract

Today, billions of communication devices connecting to wireless networks impose serious challenges to network deployment, management, and data processing. Among all emerging technologies tackling these challenges, SDNs decouple the control plane from the data plane to provide network programmability, and virtualization can share network and radio resources among various applications. On the other hand, fog computing offloads computing services from the cloud to the edge of networks, offering real-Time data services to nearby data terminals. In this article, we present an integrated architecture for software defined and virtualized radio access networks with fog computing. We propose a design of software as a service called OpenPipe, which enables network-level virtualization. To integrate SDNs and network virtualization with fog computing, we adopt a hybrid control model with two hierarchical control levels, where an SDN controller forms the higher level and local controllers comprise the lower level. Typical use cases of the proposed network architecture are validated through laboratory demonstrations.

Original languageEnglish
Article number7828266
Pages (from-to)80-87
Number of pages8
JournalIEEE Network
Volume31
Issue number1
DOIs
Publication statusPublished - 2017 Jan 1

Fingerprint

Fog
Controllers
Level control
Computer networks
Network architecture
Wireless networks
Demonstrations
Communication
Software defined networking
Virtualization

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications

Cite this

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An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing. / Liang, Kai; Zhao, Liqiang; Chu, Xiaoli; Chen, Hsiao Hwa.

In: IEEE Network, Vol. 31, No. 1, 7828266, 01.01.2017, p. 80-87.

Research output: Contribution to journalArticle

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