Reconfigurable Intelligent Surface Equipped UAV in Emergency Wireless Communications: A New Fading-Shadowing Model and Performance Analysis
<|reference_start|>Reconfigurable Intelligent Surface Equipped UAV in Emergency Wireless Communications: A New Fading-Shadowing Model and Performance Analysis: Communication infrastructure is often severely disrupted in post-disaster areas, which interrupts communications and impedes rescue. Recently, the technology of reconfigurable intelligent surface (RIS)-equipped-UAV has been investigated as a feasible approach to assist communication under such conditions. However, the channel characteristics in the post-disaster area rapidly change due to the topographical changes caused by secondary disasters and the high mobility of UAVs. In this paper we develop a new fading-shadowing model to fit the path loss caused by the debris. Following this, we derive the exact distribution of the new channel statistics for a small number of RIS elements and the approximate distribution for a large number of RIS elements, respectively. Then, we derive the closed-form expressions for performance analysis, including average capacity (AC), energy efficiency (EE), and outage probability (OP). Based on the above analytical derivations, we maximize the energy efficiency by optimizing the number of RIS elements and the coverage area by optimizing the altitude of the RIS-equipped UAV, respectively. Finally, simulation results validate the accuracy of derived expressions and show insights related to the optimal number of RIS elements and the optimal UAV altitude for emergency wireless communication (EWC).<|reference_end|>
@article{chen2024reconfigurable,
    title={Reconfigurable Intelligent Surface Equipped UAV in Emergency Wireless
  Communications: A New Fading-Shadowing Model and Performance Analysis},
    author={Yinong Chen, Wenchi Cheng, and Wei Zhang},
    journal={IEEE Transactions on Communications ( Volume: 72, Issue: 3, March
  2024)},
    year={2024},
    doi={10.1109/TCOMM.2023.3336223},
    archivePrefix={arXiv},
    eprint={2406.11241},
    primaryClass={cs.IT eess.SP math.IT}
}