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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/24642

Title: Traffic management in LTE-WiFi slicing networks
Authors: Alfoudi, Ali S.
Dighriri, Mohammed
Lee, Gyu M.
Pereira, Rubem
Tso, Fung Po
Keywords: Long-Term Evolution (LTE)
WiFi
Software Defined Network (SDN)
Network Function Virtualization (NFV)
Light Virtual Access Point (LVAP)
IP-Flow
Data offload
Issue Date: 2017
Publisher: © IEEE
Citation: ALFOUDI, A.S. ... et al, 2017. Traffic management in LTE-WiFi slicing networks. ICIN 2017: 20th Conference on Innovations in Clouds, Internet and Networks, Paris, France, 7th-9th March 2017.
Abstract: Proliferation of the number of smart devices and user applications has generated a tremendous volume of data traffic from/to a cellular network. With a traditional cellular network, a user may experience many drawbacks such as low throughput, large latencies and network outages due to overload of data traffic. The software defined network (SDN) and network function virtualization (NFV) rise as a promising solution to overcome such issues of traditional network architecture. In this paper, we introduce a new network architecture for LTE and WiFi slicing networks taking into account the advantage of SDN and NFV concepts. We propose an IPFlow management controller in a slicing network to offload and balance the flow data traffic. By utilizing the P-GW and Wireless Access Gateway, we can handle the IP-Flow between LTE and WiFi networks. The P-GW works as an IP-Flow anchor to maintain the flow seamlessly during the offloading and balancing IP-Flow. Within WiFi networks, we leverage the Light Virtual Access Point (LVAP) approach to abstract the WiFi protocol stack for a programming capability of centralized control of WiFi network through the WiFi controller. By creating a client virtual port and assigning a specific Service Set Identifier (SSID), we give a capability to slice an operator’s network to control over his clients within a WiFi coverage area network.
Description: This paper is closed access until it is published. © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/24642
Publisher Link: http://www.icin-conference.org/
Appears in Collections:Closed Access (Computer Science)

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