Network resource abstraction for 5G radio access network

Kenichi Nakura; Takeshi Suehiro; Akiko Nagasawa; Yukio Hirano; Kazuyuki Ishida; Junichi Nakagawa

doi:10.1117/12.2507709

1 February 2019 Network resource abstraction for 5G radio access network

Kenichi Nakura, Takeshi Suehiro, Akiko Nagasawa, Yukio Hirano , Kazuyuki Ishida, Junichi Nakagawa

Proceedings Volume 10946, Metro and Data Center Optical Networks and Short-Reach Links II; 109460G (2019) https://doi.org/10.1117/12.2507709
Event: SPIE OPTO, 2019, San Francisco, California, United States

Abstract

5G mobile networks will be utilized not only for mobile broadband services but also for other vertical sectors such as automotive, manufacturing and so on. Therefore, network operators are required to provide dedicated communication network services satisfying a variety of requirements. To realize that flexibly and quickly, technologies for constructing slices, which are dedicated virtual networks meeting each service’s requirements, are being widely studied. One crucial issue is the management and control of heterogeneous physical resources across the entire network. One key solution for addressing this is resource abstraction technology. It is important to adjust the resource abstraction level to achieve both reasonable resource allocations and efficient management. In this paper, we propose an abstracted resources model for mobile fronthaul and backhaul of 5G Radio Access Networks (RAN), and a method for abstracting resources from many types of physical network resource. Evaluation results show that the proposed method can reduce the processing step to half and enhance network efficiency.

Citation Download Citation

Kenichi Nakura, Takeshi Suehiro, Akiko Nagasawa, Yukio Hirano , Kazuyuki Ishida, and Junichi Nakagawa "Network resource abstraction for 5G radio access network", Proc. SPIE 10946, Metro and Data Center Optical Networks and Short-Reach Links II, 109460G (1 February 2019); https://doi.org/10.1117/12.2507709

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available