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General Information
Prof. Adrian Olaru
University Politehnica of Bucharest, Romania
I'm happy to take on the position of editor in chief of IJMO. It's a journal that shows promise of becoming a recognized journal in the area of modelling and optimization. I'll work together with the editors to help it progress.
IJMO 2020 Vol.10(1): 20-25 ISSN: 2010-3697
DOI: 10.7763/IJMO.2020.V10.741

Design and Evaluation on Mobile Edge Caching Testbed

Can Zhang, Mingyuan Zang, and Ying Yan

Abstract—Abstract—Internet traffic is predicted to increase fast over the next years. A large portion of it will be generated by mobile video services. Such a data explosion puts higher requirements on the capacity of the mobile network. Deploying more bandwidth resources to increase the network capacity is one solution, but it also means high cost. Mobile Edge Caching (MEC) is a new solution put forward these years to deal with the drastic growth of video data by bringing the video resources close to users at the edge cache. Researches have been done on the design of MEC, and implementing it in an emulator is one of the ways to verify the design. An emulator can provide real-case protocol implementation and more credible results compared with simulator. This paper studies the LTE emulators available in the market and proposes an MEC testbed based on the OpenAirInterface platform. Two use cases of the testbed are demonstrated and their performances are evaluated separately.

Index Terms—Testbed, mobile edge caching, LTE emulation, open air interface.

Can Zhang, Mingyuan Zang, and Ying Yan are with Department of Pho- tonics Engineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark (e-mail: canzh@dtu.dk, minza@dtu.dk, yiya@fotonik.dtu.dk).


Cite: Can Zhang, Mingyuan Zang, and Ying Yan, "Design and Evaluation on Mobile Edge Caching Testbed," International Journal of Modeling and Optimization vol. 10, no. 1, pp. 20-25, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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