NANCY SNS JU Project "Greek In-lab Testbed Dataset 1"

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.本数据集为NANCY项目（https://nancy-project.eu/）背景下5G新空口（NR）覆盖扩容应用场景的实验产出数据。本次实验共设置两类场景：a）用户设备（UE）通过5G NR链路直接与基站（BS）连接的场景；b）部署中间节点作为基站与用户设备间中继的场景。为此，本次实验采用Ettus Research USRP B210设备搭建了两台5G基站；同时使用两张搭载定制SIM卡的5G模块作为接入基站的终端设备。软件层面，本次实验依托srsRAN部署基于USRP的基站，并通过Open5GS软件实现核心网功能。此外，实验使用iPerf3与VLC媒体播放器生成基站与终端设备间的网络流量。本数据集的应用场景十分广泛：例如，可用于分析不同视频流分辨率对网络负载的影响。从视频流会话中采集的数据，可用于评估网络处理不同画质视频内容的能力——视频分辨率越高，流媒体的数据量越大，对网络容量的要求也越高。此外，该数据集可被机器学习（ML）与人工智能（AI）算法用于主动编排网络资源，以最大化用户的体验质量（QoE）与服务质量（QoS）。NANCY项目由欧盟地平线欧洲研究与创新计划下的智能网络与服务联合事业（SNS JU）资助，资助协议编号为101096456。