Abstract
In recent years, the utilization and application of unmanned aerial vehicle (UAV) have attracted much attention, both from academy and industry. UAVs have been widely used in many practical communication scenarios, due to its high flexibility, high mobility, and low cost. Therefore, this paper addresses the key technologies of UAV communication and reviews the current research status, from various aspects including UAV communication transmission, UAV formation control and networking, UAV resource allocation, and intelligent communication from artificial intelligence algorithms. Then, artificial intelligence is introduced into multiple aspects of UAV communication, including channel transmission, control and networking, and resource scheduling, to organically integrate artificial intelligence into UAV communication, which can help reduce the complexity of communication algorithms and improve system spectrum efficiency. This paper will help improve the efficiency of UAV communication and promote the development of UAV-related industries.
Highlights
In recent years, the utilization and application of unmanned aerial vehicle (UAV) have attracted much attention, both from academy and industry
UAVs have been widely used in many practical communication scenarios, due to its high flexibility, high mobility, and low cost. erefore, this paper addresses the key technologies of UAV communication and reviews the current research status, from various aspects including UAV communication transmission, UAV formation control and networking, UAV resource allocation, and intelligent communication from artificial intelligence algorithms. en, artificial intelligence is introduced into multiple aspects of UAV communication, including channel transmission, control and networking, and resource scheduling, to organically integrate artificial intelligence into UAV communication, which can help reduce the complexity of communication algorithms and improve system spectrum efficiency. is paper will help improve the efficiency of UAV communication and promote the development of UAV-related industries
It is clear from the above wide literature review that the existing works lack the study that integrates intelligent and efficient UAV swarm communication, formation control and collaborative networking, and resource allocation, and it is urgent to study communication, control, and networking methods that are applicable to the characteristics of swarms and dynamic topological change. erefore, this paper introduces AI into multiple levels of UAV communication, including channel transmission, control and networking, and resource scheduling, to integrate AI with UAV swarm communication, thereby reducing the complexity of swarm communication algorithms and improving system spectrum efficiency
Summary
Unmanned aerial vehicle (UAV) is a new and evolving technology that has gained much attention over the past few decades due to its flexibility, high speed mobility, and low cost [1,2,3]. E sparse characteristics of millimeter-wave propagation in high frequency bands, the application of multiple antennas, the high-speed mobility of UAVs, the dynamic change of formations, and the limited multidimensional resources of swarms cause that the key technologies of swarm communication need to be reexamined. E rapid development of artificial intelligence techniques offers potential possibilities to address the challenges of swarm communication and to surpass design concepts and performance of the traditional mobile communication. Is paper will design a swarm intelligent communication transmission strategy to break the traditional communication model and introduce artificial intelligence into multiple levels of UAV swarm communication, such as broadband transmission, formation control and networking, and multidimensional resource allocation, to substantially improve the performance of the swarm communication system, realize the organic integration of artificial intelligence and UAV swarm communication system, and promote the development and maturity of UAV swarm communication
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