O-RAN experimental evaluation datasets

The Open Radio Access Network (O-RAN) Alliance's most recent innovations are propelling the evolution of RAN deployments, moving away from conventionally closed and specialized hardware implementations and toward virtualized instances running over shared platforms and distinguished by open interfaces. Such progressive decoupling of radio software components from the hardware is paving the road for future efficient and cost-effective RAN deployments. However, there are still a lot of open challenges before O-RAN networks can be successfully deployed. Many of these open challenges include real-time network parameter configuration to maximize performance, providing enough computing resources required for vRAN deployment, and how to share processing units among multiple vRAN instances reliably. To shed light on these aspects, we have released the following datasets, which collect experimental data from published papers that research O-RAN deployments for 5G networks. It includes rich data on computing consumption, energy consumption, and other aspects that can help other researchers to develop a new solution for O-RAN deployments.开放无线接入网（Open Radio Access Network, O-RAN）联盟的最新技术创新正推动无线接入网（Radio Access Network, RAN）部署范式的演进，逐步脱离传统封闭式、专用化的硬件实现架构，转向基于共享平台运行、以开放接口为显著特征的虚拟化部署模式。这种将无线软件组件与硬件渐进解耦的变革思路，为未来高效且兼具成本效益的RAN部署铺平了道路。然而，O-RAN网络要实现成功商用部署仍存在诸多待解挑战，其中包括为最大化网络性能而开展的实时网络参数配置、满足虚拟化无线接入网（virtualized Radio Access Network, vRAN）部署所需的充足计算资源供给，以及如何在多个vRAN实例间可靠共享处理单元等问题。为阐明上述各研究方向，本团队发布了如下数据集：该数据集收录了现有已发表的面向5G网络O-RAN部署的研究论文中的实验数据，涵盖计算消耗、能耗等多维度丰富信息，可助力其他研究人员开发适用于O-RAN部署的新型解决方案。

搜集汇总

背景与挑战

背景概述

该数据集是一个关于O-RAN（开放式无线接入网络）实验评估的标准化数据集，发布于2022年，以CSV格式提供，包含计算利用率、能量消耗和AI服务性能三个方面的测量数据。数据集旨在帮助研究人员解决O-RAN部署中的实时网络配置、资源分配和性能优化等挑战，为5G和6G网络的发展提供实验支持。