The Lab
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SINLAB brings together research on 5G and Internet networking, networked interactive applications, and applications of robots and machine learning.
SINLAB brings together research on 5G and Internet networking, networked interactive applications, and applications of robots and machine learning.
Ozgu Alay
Carsten Griwodz
Cagri Erdem
Konstantinos Kousias
Paniz Parastar
We have published several datasets from a variety of projects where SINLAB members were partners.
A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements
Mobile networks have become highly complex systems. In order to better understand how network features affect performance and suggest additional improvements, it is crucial to examine them from an empirical perspective. In the following, we present a large-scale dataset of measurements collected over fourth generation (4G) and fifth generation (5G) operational networks, providing Long Term Evolution (LTE), Narrowband Internet of Things (NB-IoT) and 5G New Radio (NR) connectivity. We collected our dataset during a period of seven weeks in Rome, Italy, by performing several tests on the infrastructures of two major mobile network operators (MNOs). The open-sourced dataset has enabled multi-faceted analyses of network deployment, coverage, and end-user performance, and can be further used for designing and testing artificial intelligence (AI) and machine learning (ML) solutions for network optimization tasks.
K. Kousias, M. Rajiullah, G. Caso, U. Ali, O. Alay, A. Brunstrom, L. De Nardis, M. Neri, M-G. Di Benedetto. A Large-Scale Dataset of 4G, NB-IoT, and 5G Non-Standalone Network Measurements. IEEE Dataport 2018. https://dx.doi.org/10.21227/7a8s-nt68
L. De Nardis, G. Caso, Ö. Alay, M. Neri, A. Brunstrom, M-G. Di Benedetto, “Positioning by Multicell Fingerprinting in Urban NB-IoT Networks”, MDPI Sensors 2023, 23, 4266. https://doi.org/10.3390/s23094266
G. Attanasio, C. Fiandrino, M. Fiore, J. Widmer, N. Ludant, B.Bloessl, K. Kousias, O. Alay, L. Jacquot, R. Stanica, “In-depth Study of RNTI Management in Mobile Networks: Allocation Strategies and Implications on Data Trace Analysis”, to appear, Elsevier Computer Networks.
D. A. Hayes, D. Ros, O. Alay, P. Teymoori, T. M. Vister, “Investigating predictive model-based control to achieve reliable consistent multipath mmWave communication”, Elsevier Computer Communications, Volume 194, 2022, Pages 29-43, ISSN 0140-3664. https://doi.org/10.1016/j.comcom.2022.07.011
M. T. Abbas, K-J. Grinnemo, J. Eklund, S. Alfredsson, M. Rajiullah, A. Brunstrom, G. Caso, K. Kousias and O. Alay, “Energy-Saving Solutions for Cellular Internet of Things – A Survey”, IEEE Access, vol. 10, pp. 62073-62096, 2022, doi: 10.1109/ACCESS.2022.3182400.
E. Aumayr, G. Caso, A-M. Bosneag, A. Diaz Zayas, O. Alay, B. Garcia, K. Kousias, A. Brunstrom, P. Merino Gomez, H. Koumaras, “Service-based Analytics for 5G Open Experimentation Platforms”, Elsevier Computer Networks, Volume 205, 2022, 108740, ISSN 1389-1286, doi: 10.1016/j.comnet.2021.108740.
A. Usman, G. Caso, L. De Nardis, K. Kousias, M. Rajiullah, O. Alay, M. Neri, A. Brunstrom, and M-G. Di Benedetto, “Large-Scale Dataset for the Analysis of Outdoor-to-Indoor Propagation for 5G Mid-Band Operational Networks”, Data 7, no. 3: 34, 2022, doi: 10.3390/data7030034.
H. Wu, S. Ferlin, G. Caso, O. Alay and A. Brunstrom, “A Survey on Multipath Transport Protocols Towards 5G Access Traffic Steering, Switching and Splitting”, IEEE Access, vol. 9, pp. 164417-164439, 2021, doi: 10.1109/ACCESS.2021.3134261.
We are frequently releasing the results of thesis and projects are open source. Explore your interests below.
Indoor reconstruction++ is an incremental development of LiDAR scanning software that is built around the VLP16 rotating LiDAR scanner. It helps to collect extended scans while slowly tilting the LIDAR around its 2nd axis.
This repository adds the VLP16 rotating LiDAR from Velodyne (now relabled as Puck) to Blensor. This makes it possible to create virtual point clouds that behave as if a VLP-16 was used to scan a given virtual sceme. The error model that is used for this emulation is more realistic than the default one for rotating LiDARs that is already included in Blensor. The work is documented this master thesis.
SINLAB is a laboratory at the University of Oslo and will offer some of its equipment as a leiested after the conclusion of the Horizon Europe project Imagine-B5G.