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Leveraging synergy of SDWN and multi-layer resource management for 5G networks

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journal contribution
posted on 14.05.2018, 10:22 by Mahsa DerakhshaniMahsa Derakhshani, Saeedeh Parsaeefard, Tho Le-Ngoc, Alberto Leon-Garcia
Fifth-generation (5G) networks are envisioned to predispose service-oriented and flexible edge-to-core infrastructure to offer diverse applications. Convergence of software-defined networking (SDN), software-defined radio (SDR), and virtualization on the concept of software-defined wireless networking (SDWN) is a promising approach to support such dynamic networks. The principal technique behind the 5G-SDWN framework is the separation of control and data planes, from deep core entities to edge wireless access points. This separation allows the abstraction of resources as transmission parameters of users. In such user-centric and service-oriented environment, resource management plays a critical role to achieve efficiency and reliability. In this paper, we introduce a converged multi-layer resource management (CML-RM) framework for SDWN-enabled 5G networks, that involves a functional model and an optimization framework. In such framework, the key questions are if 5G-SDWN can be leveraged to enable CML-RM over the portfolio of resources, and reciprocally, if CML-RM can effectively provide performance enhancement and reliability for 5G-SDWN. In this paper, we tackle these questions by proposing a flexible protocol structure for 5G-SDWN, which can handle all the required functionalities in a more cross-layer manner. Based on this, we demonstrate how the proposed general framework of CML-RM can control the end-user quality of experience. Moreover, for two scenarios of 5G-SDWN, we investigate the effects of joint user-association and resource allocation via CML-RM to improve performance in virtualized networks.



  • Mechanical, Electrical and Manufacturing Engineering

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IET Networks


DERAKHSHANI, M. ...et al., 2018. Leveraging synergy of SDWN and multi-layer resource management for 5G networks. IET Networks, 7 (5), pp.336–345.


© Institution of Engineering and Technology


AM (Accepted Manuscript)

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This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

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This paper is a postprint of a paper submitted to and accepted for publication in IET Networks and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at the IET Digital Library.





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