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Uplink QoS Aware Multi-homing in Integrated 3GPP and non-3GPP Future Networks

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Mobile Networks and Management (MONAMI 2012)

Abstract

Future wireless networks will consist of a mixed heterogeneous 3GPP and non-3GPP access technologies. The 3rd Generation Partnership Project 3GPP has already facilitated the integration of non-3GPP access by standardizing the System Architecture Evolution (SAE) where non-3GPP access technologies can co-exist with 3GPP access networks. In such heterogeneous networks though the seamless vertical handovers can be performed between the available access networks, the question still remains whether the Quality of Service (QoS) demands of user applications can be satisfied from QoS unaware non-3GPP access technologies? Within the context of the Open Connectivity Services (OConS) of the SAIL European project[1], this work investigates the effects of the integration of two network types on user Quality of Experience (QoE) in the uplink direction. In order to realize QoS guaranteed service from non-3GPP access technologies, this paper proposes two novel resource estimation and management algorithms. With the help of simulation it is shown that integration of non-3GPP technologies in the existing 4G networks extends the network capacity without compromising the user QoE when the proposed schemes are deployed.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Toseef, U., Zaki, Y., Timm-Giel, A., Görg, C. (2013). Uplink QoS Aware Multi-homing in Integrated 3GPP and non-3GPP Future Networks. In: Timm-Giel, A., Strassner, J., Agüero, R., Sargento, S., Pentikousis, K. (eds) Mobile Networks and Management. MONAMI 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 58. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37935-2_9

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  • DOI: https://doi.org/10.1007/978-3-642-37935-2_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37934-5

  • Online ISBN: 978-3-642-37935-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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