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面向大规模网络的智能反射面辅助无人机通信:当前趋势、挑战及研究方向

Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions.

作者信息

Mohsan Syed Agha Hassnain, Khan Muhammad Asghar, Alsharif Mohammed H, Uthansakul Peerapong, Solyman Ahmed A A

机构信息

Ocean College, Zhejiang University, Zheda Road 1, Zhoushan 316021, China.

Department of Electrical Engineering, Hamdard Institute of Engineering & Technology, Islamabad 44000, Pakistan.

出版信息

Sensors (Basel). 2022 Jul 14;22(14):5278. doi: 10.3390/s22145278.

Abstract

An intelligent reflecting surface (IRS) can intelligently configure wavefronts such as amplitude, frequency, phase, and even polarization through passive reflections and without requiring any radio frequency (RF) chains. It is predicted to be a revolutionizing technology with the capability to alter wireless communication to enhance both spectrum and energy efficiencies with low expenditure and low energy consumption. Similarly, unmanned aerial vehicle (UAV) communication has attained a significant interest by research fraternity due to high mobility, flexible deployment, and easy integration with other technologies. However, UAV communication can face obstructions and eavesdropping in real-time scenarios. Recently, it is envisaged that IRS and UAV can combine together to achieve unparalleled opportunities in difficult environments. Both technologies can achieve enhanced performance by proactively altering the wireless propagation through maneuver control and smart signal reflections in three-dimensional space. This study briefly discusses IRS-assisted UAV communications. We survey the existing literature on this emerging research topic for both ground and airborne scenarios. We highlight several emerging technologies and application scenarios for future wireless networks. This study goes one step further to elaborate research opportunities to design and optimize wireless systems with low energy footprint and at low cost. Finally, we shed some light on open challenges and future research directions for IRS-assisted UAV communication.

摘要

智能反射面(IRS)可以通过无源反射智能地配置波前,如幅度、频率、相位,甚至极化,而无需任何射频(RF)链路。预计它将成为一项变革性技术,有能力改变无线通信,以低支出和低能耗提高频谱和能源效率。同样,无人机(UAV)通信因其高机动性、灵活部署以及易于与其他技术集成而受到研究界的广泛关注。然而,无人机通信在实际场景中可能面临障碍物和窃听问题。最近,有人设想IRS和无人机可以结合起来,在困难环境中实现无与伦比的机遇。这两种技术都可以通过在三维空间中通过机动控制和智能信号反射主动改变无线传播来实现更高的性能。本研究简要讨论了IRS辅助的无人机通信。我们调查了关于这个新兴研究主题在地面和空中场景的现有文献。我们强调了未来无线网络的几种新兴技术和应用场景。本研究进一步阐述了设计和优化低能耗、低成本无线系统的研究机会。最后,我们阐明了IRS辅助无人机通信的开放挑战和未来研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dda/9322292/4595917ff4c7/sensors-22-05278-g001.jpg

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