In recent developments, unmanned aerial vehicles (UAVs)Unmanned Aerial Vehicles (UAVs) and reconfigurable intelligent surfaces (RIS)Reconfigurable Intelligent Surface (RIS) have emerged with promising applications, employing intelligent technologies and layered architectures. Extensive research has demonstrated individual advancements in wireless network performance by both RISReconfigurable Intelligent Surface (RIS) and UAVsUnmanned Aerial Vehicles (UAVs). Integrating RISReconfigurable Intelligent Surface (RIS) into UAV platforms enhances communication capabilities by incorporating adaptable surfaces, optimizing signal strength, and mitigating interference in diverse environments. However, challenges arise in seamlessly integrating both technologies, as conventional optimization solutions fall short in addressing these complexities. Consequently, there is a growing imperative for real-time optimization, artificial intelligence-assisted solutions, and the integration of developing techniques to overcome such obstacles effectively. In response to these challenges, this study delineates crucial technologies and research directions relevant to RIS-assisted UAV communication.

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Reconfigurable Intelligent Surface for Unmanned Air Vehicle Communications: Emerging Technologies and Research Directions

  • Ishtiaq Ahmad,
  • Ramsha Narmeen

摘要

In recent developments, unmanned aerial vehicles (UAVs)Unmanned Aerial Vehicles (UAVs) and reconfigurable intelligent surfaces (RIS)Reconfigurable Intelligent Surface (RIS) have emerged with promising applications, employing intelligent technologies and layered architectures. Extensive research has demonstrated individual advancements in wireless network performance by both RISReconfigurable Intelligent Surface (RIS) and UAVsUnmanned Aerial Vehicles (UAVs). Integrating RISReconfigurable Intelligent Surface (RIS) into UAV platforms enhances communication capabilities by incorporating adaptable surfaces, optimizing signal strength, and mitigating interference in diverse environments. However, challenges arise in seamlessly integrating both technologies, as conventional optimization solutions fall short in addressing these complexities. Consequently, there is a growing imperative for real-time optimization, artificial intelligence-assisted solutions, and the integration of developing techniques to overcome such obstacles effectively. In response to these challenges, this study delineates crucial technologies and research directions relevant to RIS-assisted UAV communication.