5G Traffic Datasets

We created a 5G dataset by measuring 5G traffic directly from a major mobile operator in South Korea. The model name of the mobile terminal used for traffic measurement is the Samsung Galaxy A90 5G, equipped with a Qualcomm Snapdragon X50 5G modem. We installed PCAPdroid, a packet sniffer software, on the terminal via Google Play. Traffic was measured sequentially per application on two stationary terminals (only one terminal is used for noninteractive services) with no background traffic. The dataset includes a diverse number of traffic types and is shown in Table I. The collected dataset includes resource-intensive video traffic that has the greatest impact on 5G network planning and provisioning. We did not mix background traffic to measure the unique characteristics of each type of traffic. The video streaming dataset contains data directly measured while watching Netflix and Amazon Prime Video, representative over-the-top (OTT) services, on mobile devices. The live streaming dataset is measured while watching YouTube Live and South Korea's famous live broadcasts (Naver NOW and Afreeca TV). Video conferencing data are measured by conducting live meetings on the popular Zoom, MS Teams, and Google Meet platforms. Two types of metaverse traffic are acquired: Zepeto and Roblox. Zepeto traffic is collected while staying in 'Camping' for 15 hours. Roblox traffic is collected by playing 'Collect All Pets' for 25 hours using the auto-clicker. We collect two types of mobile network gaming traffic. The first is cloud gaming, an online game setup that runs video games on remote servers and streams them directly to the user's device. The second is a typical mobile game connected to the Internet.The dataset was collected from May to October 2022, has a total length of 328 hours, and is provided in CSV file format. The dataset is a timestamp-mapped time-series dataset with packet header information, and further traffic analysis by application is possible because it includes source and destination addresses.

本数据集通过直接采集韩国某大型移动通信运营商的5G流量构建而成。本次流量采集所用的移动终端型号为三星Galaxy A90 5G，搭载高通骁龙（Qualcomm Snapdragon）X50 5G调制解调器。我们通过谷歌应用商店（Google Play）在该终端上安装了数据包嗅探软件PCAPdroid。流量采集按应用顺序在两台静止终端上逐一完成，非交互式服务仅使用单台终端，且全程无后台流量干扰。本数据集涵盖丰富多样的流量类型，具体类别见表I。所采集的数据包含对5G网络规划与部署影响最为显著的高资源占用视频流量。为精准刻画各类流量的独有特征，本次采集未混入任何后台流量。视频流流量数据集包含在移动设备上观看奈飞（Netflix）与亚马逊Prime Video这两类代表性过顶传输（Over-the-Top, OTT）服务时直接采集的流量数据。直播流流量数据集采集自移动设备观看YouTube直播（YouTube Live），以及韩国知名直播平台Naver NOW与Afreeca TV的场景。视频会议流量数据采集自热门的Zoom、微软Teams（MS Teams）与谷歌Meet（Google Meet）平台的实时会议场景。本次采集还包含两类元宇宙流量：Zepeto与Roblox。其中Zepeto流量采集自15小时的“Camping”场景游玩过程，Roblox流量则通过自动点击器游玩“Collect All Pets”游戏25小时完成采集。本数据集涵盖两类移动网络游戏流量：第一类为云游戏（cloud gaming），此类在线游戏架构将视频游戏运行于远程服务器，并将画面直接流传输至用户终端；第二类为常规联网移动游戏。本数据集的采集时段为2022年5月至10月，总时长共计328小时，以CSV文件格式提供。该数据集为带有时间戳映射的时序数据集，包含数据包头部信息，且因包含源与目的地址字段，支持按应用进行进一步的流量分析。

搜集汇总

背景与挑战

背景概述

该数据集是来自韩国主要移动运营商的5G流量实测数据，包含视频流、直播、视频会议、元宇宙和移动游戏等多种流量类型，特别聚焦资源密集型视频流量。数据采集于2022年5月至10月，总时长328小时，以CSV格式提供时间戳映射的时间序列数据包头部信息，支持按应用的深度流量分析。