Berlin V2X

The Berlin V2X dataset offers high-resolution GPS-located wireless measurements across diverse urban environments in the city of Berlin for both cellular and sidelink radio access technologies, acquired with up to 4 cars over 3 days. The data enables thus a variety of different ML studies towards vehicle-to-anything (V2X) communication.The data includes information onphysical layer parameters (such as signal strength and signal quality)cellular radio resource management like cell identity, carrier aggregation and assigned resource blockswireless Quality of Service (QoS) like delay and throughput (for cellular) or packet error rate (for sidelink)positioning information.The datasets are labelled and pre-filtered for a fast on-boarding and applicability. The measurement methodology pursues an application to Machine Learning (ML) for tasks such as QoS prediction, transfer learning, proactive radio resource allocation or link selection, among others.

搜集汇总

背景与挑战

背景概述

Berlin V2X数据集提供了柏林市多种城市环境下高分辨率GPS定位的无线测量数据，包括蜂窝和侧链无线接入技术，适用于车辆到万物(V2X)通信的机器学习研究。数据集包含物理层参数、无线服务质量(QoS)、GPS定位信息等，并经过标记和预过滤以便快速应用。