Ferreira Tânia, Raposo Duarte, Figueiredo Alexandre, Dias Eurico, Rito Pedro, Luís Miguel, Sargento Susana
Instituto de Telecomunicações, Aveiro 3810-193, Portugal.
Departamento de Electrónica, Telecomunicações e Informática, Universidade de Aveiro, Aveiro 3810-193, Portugal.
Data Brief. 2023 Dec 12;52:109954. doi: 10.1016/j.dib.2023.109954. eCollection 2024 Feb.
The wireless backhaul has emerged as an attractive alternative to traditional fiber backhaul for 5G technology, offering greater flexibility and cost-effectiveness thanks to the availability of high bandwidths capable of achieving fiber-like data rates. However, the millimeter-wave-based (mmWave) protocols, namely IEEE 802.11ad and later IEEE 802.11ay, suffer from a high susceptibility to obstruction, which only allows correct operation under Line-of-Sight conditions (LOS). Any sudden obstructions can significantly reduce the maximum achievable throughput, leading to delays exceeding acceptable limits for critical applications, and may even culminate in link failure in certain circumstances. Therefore, it is essential to assess how different types and durations of obstructions impact different network OSI layers to determine the feasibility of mmWave. WiGig-based technologies for wireless backhaul scenarios. This article describes a dataset collected from an experimental IEEE 802.11ad backhaul network, mmWave-based mesh network at 60 GHz, deployed in an outdoor environment. The data contains multi-layer information, including MAC, PHY, and network data, which provides valuable insights into the WiGig network behavior under three distinct scenarios. These scenarios include normal operation, long-term blocked scenario, and short-term blocked scenario, based on the type and duration of the blockage event crossing the LOS path. The dataset presents an extensive PHY, MAC and transport layer measurement campaign for an outdoor WiGig network, and thus it is a valuable resource for researchers and professionals interested in understanding the behavior and performance of real-life mmWave-based WiGig networks aimed for 5G backhauling.
无线回程已成为5G技术中传统光纤回程颇具吸引力的替代方案，由于具备能够实现类似光纤数据速率的高带宽，它提供了更大的灵活性和成本效益。然而，基于毫米波（mmWave）的协议，即IEEE 802.11ad以及后来的IEEE 802.11ay，对障碍物高度敏感，这使得它们仅在视距（LOS）条件下才能正常运行。任何突然出现的障碍物都会显著降低可实现的最大吞吐量，导致关键应用的延迟超过可接受的限度，在某些情况下甚至可能最终导致链路故障。因此，评估不同类型和持续时间的障碍物如何影响不同的网络OSI层，以确定毫米波用于基于WiGig的无线回程场景的可行性至关重要。本文描述了一个从部署在室外环境中的实验性IEEE 802.11ad回程网络（60GHz的基于毫米波的网状网络）收集的数据集。该数据包含多层信息，包括MAC、PHY和网络数据，这为三种不同场景下的WiGig网络行为提供了有价值的见解。这些场景包括正常运行、长期阻塞场景和短期阻塞场景，具体取决于穿越视距路径的阻塞事件的类型和持续时间。该数据集展示了针对室外WiGig网络的广泛的PHY、MAC和传输层测量活动，因此对于有兴趣了解旨在用于5G回程的基于实际毫米波的WiGig网络的行为和性能的研究人员和专业人员来说，它是一个宝贵的资源。
