Research Article
Statistically Sound Experiments with OpenAirInterface Cloud-RAN Prototypes
@INPROCEEDINGS{10.1007/978-3-319-40352-6_62, author={Niccol\'{o} Iardella and Giovanni Stea and Antonio Virdis and Dario Sabella and Antonio Frangioni}, title={Statistically Sound Experiments with OpenAirInterface Cloud-RAN Prototypes}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={LTE-A Cloud-RAN OpenAirInterface Performance evaluation Experimentation ns2-measure}, doi={10.1007/978-3-319-40352-6_62} }- Niccolò Iardella
Giovanni Stea
Antonio Virdis
Dario Sabella
Antonio Frangioni
Year: 2016
Statistically Sound Experiments with OpenAirInterface Cloud-RAN Prototypes
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_62
Abstract
Research on 4G/5G cellular networks is progressively shifting to paradigms that involve virtualization and cloud computing. Within this context, assumes a growing importance as a performance evaluation method, besides large-scale simulations, as it allows one to evaluate the computational requirements of the system. Both approaches share the need for a and statistically sound experiment management, with the goal of reducing errors in both planning and measurement collection. In this paper, we describe how we solve the problem with OpenAirInterface (OAI), an open-source system for prototyping 4/5G cellular networks. We show how to integrate a sound, validated software, namely ns2-measure, with OAI, so as to enable harvesting samples of arbitrary metrics in a structured way, and we describe scripts that allow structured experiment management, such as launching a parametric simulation campaign and harvesting its results in a plot-ready format. We complete the paper by demonstrating some advantages brought about by our modifications.
