NDLI: Design and implementation of aerial communication using directional antennas: learning control in unknown communication environments

Content Provider	IET Digital Library
Author	Li, Songwei He, Chenyuan Liu, Mushuang Wan, Yan Gu, Yixin Xie, Junfei Fu, Shengli Lu, Kejie
Abstract	To support an increasing number of commercial multi-unmanned aerial vehicle (UAV) applications, robust UAV-to-UAV communication is critical. A promising solution is aerial communication using directional antennas (ACDA), with features like long communication distance, low power consumption, broad bandwidth, and interference rejection. Nevertheless, ACDA requires the automatic alignment of directional antennas, which is not easy to achieve considering the imperfect communication environment unknown in advance and the limited sensing devices onboard due to the constrained payloads and power sources. In this study, the authors design and implement a new ACDA system, including the platform, communication, computing, control, middleware, and interface components. Practical implementation issues for the emergency response application are also considered. The ACDA system features a communication and control co-design, where the communication quality indicator, received signal strength indicator, serves as the goal function for antenna alignment. The solution also features a reinforcement learning-based directional antenna control algorithm that learns the unknown communication environment models. The performance of the ACDA system is verified using simulation studies, field tests, and disaster drills.
Starting Page	2906
Ending Page	2916
Page Count	11
ISSN	17518644
Volume Number	13
e-ISSN	17518652
Issue Number	Issue 17, Nov (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/13/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.6252
Journal	IET Control Theory & Applications
Publisher Date	2019-04-03
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	ACDA System Features Aerial Communication Aerospace Control Aircraft Communication Antenna Alignment Autonomous Aerial Vehicle Commercial Multiunmanned Communication Quality Indicator Directional Antenna Directive Antenna Emergency Response Application Imperfect Communication Environment Knowledge Engineering Technique Learning in AI Long Communication Distance Low Power Consumption Middleware Mobile Radio System Mobile Robots Multi-robot System Other Distributed System Software Reinforcement Learning-based Directional Antenna Control Algorithm Single Antenna Spatial Variables Control Telerobotics UAV-to-UAV Communication Unknown Communication Environment Model Unknown Communication Environments
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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