Development of Air-to-Ground Connectivity for 5G UTM Networks

5G UTM 网络空对地连接的开发

• 批准号: 2459795
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2459795
• 关键词: Development; Air; Ground; Connectivity; 5G

The unmanned aerial vehicles (UAVs) are new types of user equipment connected to cellular networks with promising revenue through additional new subscribers and use cases, especially for aviation sector. In addition, UAVs are accepted as an extension to base stations by boosting coverage, spectral efficiency and user quality of experience. In this context, the main aim of this project is to provide high quality of data link and smooth UAVs connectivity into cellular network infrastructure. The UAVs allow rapid deployment of a multi-hop communication backbone in challenging environments with applications for public safety, delivery and monitoring. Therefore, Unmanned aerial vehicles (UAVs) can be used as complementary infrastructure to provide wireless services for the ground users or they may require wireless connectivity from the ground for a safe and reliable operation. This PhD project aims to study several UAV use-cases covering 5G core networks and to validate UAV/UTM connectivity KPIs for supporting such challenging. The project will drive UAV and 5G networks to a win-win position, on one hand by showing that 5G is able to guarantee UAV vertical KPIs, and on the other hand by demonstrating that 5G can support challenging use-cases that put pressure on network resources. To achieve that we will look to study of where 5G can add value to improve the existing UAV connectivity.

无人驾驶汽车（UAV）是连接到蜂窝网络的新型用户设备，并通过其他新的订户和用例，尤其是对于航空部门而有希望的收入。此外，通过提高覆盖范围，频谱效率和用户的经验质量，将无人机被接受为基站扩展。在这种情况下，该项目的主要目的是提供高质量的数据链路，并将无人机连接平滑为蜂窝网络基础架构。无人机允许在充满挑战的环境中快速部署多跳通信主链，并使用公共安全，交付和监视的应用程序。因此，无人驾驶汽车（UAV）可以用作补充基础设施，为地面用户提供无线服务，或者他们可能需要从地面上进行无线连接才能进行安全可靠的操作。该博士学位项目旨在研究涵盖5G核心网络的几个无人机用例，并验证无人机/UTM连接KPI，以支持这种挑战。该项目将通过证明5G能够保证无人机垂直KPI来将无人机和5G网络置于双赢位置，另一方面，通过证明5G可以支持对网络资源施加压力的具有挑战性的用例。为此，我们将研究5G在哪里增加价值以提高现有的无人机连接。

项目成果

Interference Mitigation for 5G-Connected UAV using Deep Q-Learning Framework

使用 Deep Q-Learning 框架减轻 5G 连接无人机的干扰

• DOI: 10.1109/dasc55683.2022.9925817
• 发表时间: 2022
• 作者: Warrier A

Seamless Handover in Urban 5G-UAV Systems Using Entropy Weighted Method

• 发表时间: 2022
• 作者: Prof. Gokhan Inalhan;Prof. Antonios Tsourdos;Anirudh Warrier;Saba Al-Rubaye;Dimitrios Panagiotakopoulos;G. Inalhan;A. Tsourdos