Edge-cloud based self-organisation of aerial robotics assisted cellular communications

Project Details

Description

Field robotics, cellular communications and edge computing are generally investigated separately in previous scientific research. However, recent years have witnessed the combination of these areas. On the one hand, cellular communication technologies are utilized to enable the high-capacity mission-related data transmissions among aerial robots such as unmanned aerial vehicles (UAVs) or aerial things like drones, helikites, balloons. On the other hand, dedicated aerial robots (such as UAVs or aerial things) are also dispatched as mobile communication platforms to assist the cellular communications. Therefore, the aim of this NSFC-RSE project is to exchange and disseminate the research expertise and achievements between UK and China in order to advance the knowledge of the application and development of aerial robotics in the innovation of future Internet technology.

In particular, this NSFC-RSE project will investigate self-organization of aerial robotics assisted cellular communications, aiming to develop a self-organized aerial robotics assisted mobile communication platform for sustaining an integrated network management system across aerial and territorial network infrastructures. The project will focus on two complementary aspects of such an integrated aerial and territorial system: (1) edge computing based service provisioning and resource allocation for aerial robotics assisted cellular communications, and (2) collaborative UAV coordination and control mechanisms in aerial robotics assisted cellular communications.

The NSFC-RSE consortium consists of complementary expertise in the general area of artificial intelligence technologies and wireless communication from different participating organizations across Scotland and China. The selection of the partners in the consortium has been mainly based on the scientific and technical background in the area of intelligent robot control system and wireless communication, and the value-added roles in knowledge transfer to fulfil the project’s scientific and knowledge transfer objective. The objective of the project is to accelerate the knowledge transfer in order to obtain better understanding of UAV assisted cellular communications. Based on this objective, the partners’ expertise are summarized into the following two categories: intelligent robot control system and wireless communication. The Consortium is particularly strong in both categories in each partner’s institution. On the intelligent robot control front, the British partners are stronger at complex system control and distributed artificial intelligence. On the wireless communication front, BUPT, as China’s most influential university in telecommunications, is extremely well equipped with advanced wireless communications devices and network test-bed after years’ massive funding support from various sources.
StatusFinished
Effective start/end date1/04/1931/10/21

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