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Conference paper

Performance Evaluation of NETCONF-Based Low Latency Cross-Connect for 5G C-RAN Architectures

From

Department of Photonics Engineering, Technical University of Denmark1

ADVA Optical Networking2

Kiel University3

Mellanox Technologies, Inc.4

Eindhoven University of Technology5

The development of 5G wireless technology is in progress looking to cope with the increasing demands for high capacity, low latency, and ubiquitous mobile access. Cloud/Centralized Radio Access Networks (C-RAN) has been proposed as a promising approach to address the 5G benchmarks. C-RAN is a rising mobile network architecture based on the centralization and pooling of baseband processing elements, with the scope of increasing resource utilization efficiency and air-interface performance gains with fast scaling multi-cell coordination.

In this paper we focus on proposing and evaluating a flexible low-latency cross-connect (XC) switch that allows a dynamic scheduling of networking resources between baseband units (BBUs) and remote radio heads (RRHs) in C-RAN deployments. On the one hand, we develop a control plane mechanism for manipulating the XC configuration and state data based on a custom YANG model and Network Configuration (NTCONF) protocol.

Using a standard open NETCONF interface, automation of heterogeneous C-RAN resource assignment can be facilitated for 5G architectures. Secondly, we evaluate the performance of our XC in relation to the C-RAN stringent requirements and show that the latency and jitter introduced have negligible influence compared to radio interface limits.

The impact of switching delay on the performance of a live system has yet to be tested however, a measured average switching time of 252 ms could still disrupt the ongoing connections.

Language: English
Publisher: IEEE Computer Society Press
Year: 2018
Pages: 1-5
Proceedings: 20th International Conference on Transparent Optical Networks
ISBN: 1538666049 , 1538666057 , 1538666065 , 9781538666043 , 9781538666050 and 9781538666067
ISSN: 21612064
Types: Conference paper
DOI: 10.1109/ICTON.2018.8473644

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