Design Guidelines for Blockchain-Assisted 5G-UAV Networks

• Published in: IEEE network Vol. 35; no. 1; pp. 64 - 71
• Main Authors: Aloqaily, Moayad, Bouachir, Ouns, Boukerche, Azzedine, Ridhawi, Ismaeel Al
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.01.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 5G mobile communication; Autonomous cars; Blockchain; Cellular communication; Cloud computing; Cryptography; Data centers; Drones; Edge computing; Electronic devices; End users; Fog; Mobile computing; New technology; Quality of service; Quality of service architectures; Radio equipment; Routing; Smart cities; Unmanned aerial vehicles; Wireless networks
• ISSN: 0890-8044; 1558-156X
• DOI: 10.1109/MNET.011.2000170

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.