| Title: |
NANCY SNS JU Project - 5G Coverage Expansion Dataset 1 |
| Authors: |
Liatifis, Athanasios; Tegos, Sotiris A.; Mitsiou, Nikos A.; Makris, Ioannis; Kyranou, Konstantinos; Pliatsios, Dimitrios; Lagkas, Thomas; Sarigiannidis, Panagiotis |
| Publication Year: |
2023 |
| Collection: |
Zenodo |
| Description: |
The dataset is the experimental output of a 5G New Radio (NR) coverage expansion use case in the context of the NANCY project (https://nancy-project.eu/). Two experimental scenarios were carried out, namely a) a scenario where a user equipment (UE) is directly connected to a Base Station (BS) through a 5G NR link, and b) a scenario where an intermediate node is employed, which acts as a relay between the base station and the UE. To this end, two 5G BSs were deployed, using Ettus Research USRP B210 devices. Also, two 5G modules equipped with custom SIM cards were used as end devices that connect to the BSs. From a software perspective, the srsRAN was used to deploy the USRP-based BSs, while the Open5GS software was used for Core Network functionality. Furthermore, iPerf3 and VLC Media Player were utilized to generate network traffic between the BS and the end device. The dataset’s potential applications are wide; for instance, it can be used to provide insights into how the different video streaming resolutions affect the network load. The data collected from the video streaming sessions was critical in evaluating the network's ability to handle video content of varying quality. In this respect, higher video resolutions resulted in more data-intensive streaming and higher requirements in terms of network capacity Furthermore, the dataset can be leveraged by Machine Learning (ML) and Artificial Intelligence (AI) algorithms for proactively orchestrating the network resources to maximize the users’ quality of experience and quality of service. The NANCY project has received funding from the Smart Networks and Services Joint Undertaking (SNS JU) under the European Union's Horizon Europe research and innovation programme under Grant Agreement No 101096456. |
| Document Type: |
dataset |
| Language: |
unknown |
| Relation: |
https://zenodo.org/communities/sns-ju/; https://zenodo.org/communities/nancy-project/; https://zenodo.org/communities/eu/; https://zenodo.org/records/10442969; oai:zenodo.org:10442969 |
| DOI: |
10.21227/vm3z-ww28 |
| Availability: |
https://doi.org/10.21227/vm3z-ww28; https://zenodo.org/records/10442969 |
| Rights: |
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode |
| Accession Number: |
edsbas.B19387A4 |
| Database: |
BASE |