Seminar “Unmanned Aerial Vehicles (UAVs) powers the future of 5G/6G networks”

30 May at 15:00 MSK

With the recent advances in the telecommunication industry, the main requirements of next generation systems become challenges. Unmanned aerial vehicle (UAV), is one of the main announced use cases of the fifth generation (5G) cellular system and is announced as an enabler of the six generation (6G) cellular system. UAVs have many applications in varying fields such real-time surveillance, assisting network coverage in 5G systems, and remote sensing applications. These applications can be categorized into three main groups; UAVs to assist communications in dense 5G networks, UAVs assist ultra-low latency 5G applications and UAVs as a 5G use case. With these enormous number of applications, UAVs have many design challenges that should be considered while designing the communication system for such applications. These challenges include air traffic handling, routing and limited computing resources, i.e., energy, storage and processing. Energy is one of the main challenges that affect the design and development of UAVs applications, since UAVs, especially Micro-UAVs, are battery operated.

To this end, we consider designing and developing an energy efficient framework for heterogenous applications of UAVs using edge computing paradigms, e.g., Mobile Edge Computing (MEC) and Fog Computing. The introduction of edge computing technology to UAVs provides a way for data offloading and handling air traffic. We will consider the three mentioned categories of UAVs and provide a framework for each. The first part of the work will consider developing a framework for UAVs assisting Internet of Things (IoT) applications as an example dense deployment scenario of 5G networks. The framework will be developed based on the edge computing paradigm. The second part of the work will consider developing a framework for UAVs assisting ultra-low latency applications of 5G. Mainly, designing a framework for UAVs to assist augmented and virtual reality (AR/VR) applications as an example of ultra-low latency applications of 5G systems. The third part of the work will consider designing and developing a framework for real-time monitoring and surveillance. All the three parts will introduce edge computing paradigm, either MEC, Fog, or both, to the edge of the access network. The system will be evaluated over reliable simulation and/or emulation environments.

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