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Dynamic Resource Sharing for C-RANs with Joint Orchestration of Radio and Transport
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Optical Network Laboratory (ON Lab).
Ericsson AB, Kista Sweden.
Ericsson AB, Kista Sweden.
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2016 (English)Conference paper (Refereed)
Abstract [en]

We present a resource allocation strategy for centralized radio access network architectures able to adapt to the wireless network capacity requirements. Both simulation and emulation results show that it is possible to reuse up to 33.3% of the transport resources.

Place, publisher, year, edition, pages
VDE Verlag GmbH, 2016.
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:kth:diva-194787OAI: oai:DiVA.org:kth-194787DiVA: diva2:1043667
Conference
42nd European Conference and Exhibition on Optical Communication (ECOC)
Note

QC 20161103

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2016-11-15Bibliographically approved
In thesis
1. Flexible and Programmable 5G Transport Networks
Open this publication in new window or tab >>Flexible and Programmable 5G Transport Networks
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The advent of 5th generation of mobile networks (5G) will introduce some new challenges for the transport network. Different strategies can be employed by the network providers to address these challenges with the aim to achieve an efficient utilization of network resources. The most feasible option to achieve this goal is to introduce intelligence in the transport infrastructure by designing a flexible and programmable transport network.

Network function virtualization (NFV) and dynamic resource sharing (DRS) are two possible techniques for realizing a flexible transport network. NFV allows to dynamically push network functions to different locations in the network, while DRS allows for sharing transport resources in a flexible manner. Both of these strategies can be realized by employing a programmable control framework based on software defined networking (SDN), which has implications on both the network data and control planes. However, this thesis specifically focuses on the data plane aspects of NFV and the control plane aspects of DRS.

Considering the network caching as a specific example of network function, the data plane aspects of NFV are studied in terms of different architectural options for cache placement in order to see which options are the most efficient in terms of network power consumption and cost. The results presented in this thesis show that placing large-sized caches farther in the network for a large group of users is the most efficient approach.

The control plane aspects of DRS are analyzed in terms of which provisioning strategy should be used for sharing a limited amount of transport resources. The analysis is presented for both a single-tenant case (i.e., where the role of service and network provider is played by the same entity), and a multi-tenant case (i.e., where a network provider manages the resources assigned to different service providers in an intelligent way). The results show that DRS performs much better than the conventional static approach (i.e., without sharing of resources), which translates into significant cost savings for the network providers.

Place, publisher, year, edition, pages
KTH Royal Institute of Technology, 2016. 43 p.
Series
TRITA-ICT, 2016:39
Keyword
5G transport, network function virtualization, dynamic resource sharing, software-defined networking, centralized RAN, network virtualization.
National Category
Communication Systems
Research subject
Information and Communication Technology
Identifiers
urn:nbn:se:kth:diva-196525 (URN)978-91-7729-186-2 (ISBN)
Presentation
2016-12-19, Ka-Sal C (Sal Sven-Olof Öhrvik), Electrum, Kungl Tekniska högskolan, Kistagången 16, Kista, 10:00 (English)
Opponent
Supervisors
Note

QC 20161115

Available from: 2016-11-15 Created: 2016-11-15 Last updated: 2016-11-16Bibliographically approved

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