Aerial Reconfigurable Intelligent Surface-Assisted LPWANs for IoT: A Cross-Layer Analysis

The utilization of low-power wide area network (LPWAN) technologies holds significant promise for numerous critical Internet of Things (IoT) applications that are characterized by low data rates and stringent power consumption requirements. However, LPWAN technologies face limitations, particularly in extending coverage in obstructed environments. Driven by the various abilities of reconfigurable intelligent surfaces (RISs) and the advanced features of unmanned aerial vehicles (UAVs), the integration of RIS into UAVs, which results in aerial RIS (ARIS), presents an attractive solution for enhancing LPWAN-based IoT connectivity. This letter introduces a novel solution to enhance the efficacy of LPWAN-based IoT by incorporating ARIS. A full cross-layer analysis is provided to illustrate the effectiveness of the solution. Furthermore, the impact of the UAV’s location and the number of reflective elements of the ARIS are examined in practical scenarios. The results illustrate that utilizing an ARIS significantly enhances the performance of the LPWAN-based system and results in a reliable long-range transmission operation.

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Publication Details

Journal
IEEE Wireless Communications Letters
Published
2024-09-02
DOI
https://doi.org/10.1109/lwc.2024.3453592
Citations
4
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.83

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article

Aerial Reconfigurable Intelligent Surface-Assisted LPWANs for IoT: A Cross-Layer Analysis

Telex M. N. Ngatched, Majid H. Khoshafa, Mohamed H. Ahmed, Yasser Gadallah
4 citations
IEEE Wireless Communications Letters
Advanced Wireless Communication Technologies
0.83
article

Aerial Reconfigurable Intelligent Surface-Assisted LPWANs for IoT: A Cross-Layer Analysis

Telex M. N. Ngatched, Majid H. Khoshafa, Mohamed H. Ahmed, Yasser Gadallah
article en
4 citations

Abstract

The utilization of low-power wide area network (LPWAN) technologies holds significant promise for numerous critical Internet of Things (IoT) applications that are characterized by low data rates and stringent power consumption requirements. However, LPWAN technologies face limitations, particularly in extending coverage in obstructed environments. Driven by the various abilities of reconfigurable intelligent surfaces (RISs) and the advanced features of unmanned aerial vehicles (UAVs), the integration of RIS into UAVs, which results in aerial RIS (ARIS), presents an attractive solution for enhancing LPWAN-based IoT connectivity. This letter introduces a novel solution to enhance the efficacy of LPWAN-based IoT by incorporating ARIS. A full cross-layer analysis is provided to illustrate the effectiveness of the solution. Furthermore, the impact of the UAV’s location and the number of reflective elements of the ARIS are examined in practical scenarios. The results illustrate that utilizing an ARIS significantly enhances the performance of the LPWAN-based system and results in a reliable long-range transmission operation.

IEEE Wireless Communications LettersVol. 13(10)
University of Ottawa (CA), American University in Cairo (EG), McMaster University (CA)
McMaster University, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 27%
Advanced Wireless Communication Technologies
0.83
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Aerial Reconfigurable Intelligent Surface-Assisted LPWANs for IoT: A Cross-Layer Analysis — Telex M. N. Ngatched, Majid H. Khoshafa, et al. · IEEE Wireless Communications Letters (2024) | TGRS Research Map | TGRS