Improved Model and Analysis for RIS-Assisted Indoor Terahertz Wireless Networks
<|reference_start|>Improved Model and Analysis for RIS-Assisted Indoor Terahertz Wireless Networks: In this paper, we propose a new model for indoor THz communication assisted by RIS. We conduct a realistic modeling of indoor obstacles and analyze their impact on performance. Order statistics are applied to calculate the cumulative distribution functions (CDFs) of distances from the transmitter to the selected RIS, i.e., the nearest RIS in the bounded indoor environment to the transmitter, and from the selected RIS to the receiver. We calculate the coverage probability (CP) as a function of RIS number, obstacle density, room size, and the transmitter's location. By comparing the numerical results obtained from the analytical expressions with Monte Carlo simulations, we verify the accuracy of our analysis. Through numerical results, it is observed that room size and obstacle density affect the CP in a significant way. However, by optimizing the transmitter's location and increasing the RIS number deployed in the room, the CP can be significantly improved (e.g., an increase of around 15% by optimizing the transmitter's location, and an increase of around 30% by increasing the RIS number deployed in the room).<|reference_end|>
@article{chai2024improved,
    title={Improved Model and Analysis for RIS-Assisted Indoor Terahertz Wireless
  Networks},
    author={Zhi Chai, Jiajie Xu, Mohamed-Slim Alouini, Justin P. Coon},
    journal={arXiv preprint arXiv:2407.08386},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.08386},
    primaryClass={eess.SY cs.SY}
}