Design Guidelines for Blockchain-Assisted 5G-UAV Networks
Design Guidelines for Blockchain-Assisted 5G-UAV Networks
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DOI：
10.1109/mnet.011.2000170
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发表时间：
2021-01-01
期刊：
影响因子：
9.3
通讯作者：
Al Ridhawi, Ismaeel
中科院分区：
文献类型：
--
作者：
Aloqaily, Moayad;Bouachir, Ouns;Al Ridhawi, Ismaeel
第五代(5G)无线网络旨在通过高数据速率(通常为每秒千兆位)和低延迟来满足各种最终用户的服务质量(Qos)要求。再加上雾和移动边缘计算，5G可以实现高数据速率，使自动驾驶汽车的大规模部署和大规模人工智能启用的工业制造等复杂的自主智慧城市服务成为可能。然而，为了满足连接的物联网设备数量的指数级增长以及低密度和高密度位置的不规则数据和服务请求，通过固定且昂贵的基站支持的传统蜂窝的制定流程需要重新考虑，以支持以无人机(UAV)形式的按需移动接入点，以满足多样化的智能城市场景。本文设想了一个由支持区块链的无人机支持的5G网络环境，以网络接入供应满足动态用户需求。该解决方案实现了分散的服务交付(无人机即服务)，并以可靠和安全的方式来往于最终用户。在雾和云计算设备和数据中心的支持下，在无人机内部署了公共和私有区块链，以提供广泛的复杂身份验证服务和数据可用性。特别注意比较了所提出的解决方案与传统无人机支持的蜂窝网络中的数据传输成功率和消息交换。会议还讨论了挑战和未来的研究，重点介绍了联合学习等新兴技术。
Fifth generation (5G) wireless networks are designed to meet various end-user quality of service (QoS) requirements through high data rates (typically of gigabits per second) and low latencies. Coupled with fog and mobile edge computing, 5G can achieve high data rates, enabling complex autonomous smart city services such as the large deployment of self-driving vehicles and large-scale artificial-intelligence-enabled industrial manufacturing. However, to meet the exponentially growing number of connected IoT devices and irregular data and service requests in both low- and high-density locations, the process of enacting traditional cells supported through fixed and costly base stations requires rethought to enable on-demand mobile access points in the form of unmanned aerial vehicles (UAV) for diversified smart city scenarios. This article envisions a 5G network environment that is supported by blockchain-enabled UAVs to meet dynamic user demands with network access supply. The solution enables decentralized service delivery (drones as a service) and routing to and from end users in a reliable and secure manner. Both public and private blockchains are deployed within the UAVs, supported by fog and cloud computing devices and data centers to provide a wide range of complex authenticated service and data availability. Particular attention is paid to comparing data delivery success rates and message exchange in the proposed solution against traditional UAV-supported cellular networks. Challenges and future research are also discussed with highlights on emerging technologies such as federated learning.