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

被引:1
|
作者
Khoshafa, Majid H. [1 ]
Gadallah, Yasser [2 ]
Ngatched, Telex M. N. [1 ]
Ahmed, Mohamed H. [3 ]
机构
[1] McMaster Univ, Dept Elect & Comp Engn, Hamilton, ON L8S 4L8, Canada
[2] Amer Univ Cairo, Dept Elect & Commun Engn, New Cairo 11835, Egypt
[3] Univ Ottawa, Sch Elect Engn & Comp Sci, Ottawa, ON K1N 6N5, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Low-power wide area networks; Internet of Things; Reconfigurable intelligent surfaces; Autonomous aerial vehicles; Wireless communication; Cross layer design; Signal to noise ratio; Aerial reconfigurable intelligent surface (ARIS); low-power wide-area networks (LPWANs); unmanned aerial vehicles (UAVs); Internet of Things (IoT); WIRELESS COMMUNICATION; OPTIMIZATION;
D O I
10.1109/LWC.2024.3453592
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:2912 / 2916
页数:5
相关论文
共 50 条
  • [1] Aerial Reconfigurable Intelligent Surface-Assisted Terrestrial Communications
    Gu X.
    Duan W.
    Zhang G.
    Wen M.
    Choi J.
    Ho P.-H.
    IEEE Internet of Things Magazine, 2024, 7 (02): : 54 - 60
  • [2] Aerial Reconfigurable Intelligent Surface-Assisted Secrecy: A Learning Approach
    Jiang, Tianqi
    Niu, Lirong
    Tang, Xu
    Tang, Xiao
    Zhai, Daosen
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) : 18 - 22
  • [3] Reconfigurable Intelligent Surface-Assisted Routing for Power-Constrained IoT Networks
    Derbas, Rawan
    Naser, Shimaa
    Bariah, Lina
    Muhaidat, Sami
    Mohjazi, Lina
    Badarneh, Osamah S.
    Damiani, Ernesto
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2024, 5 : 5176 - 5191
  • [4] RECONFIGURABLE INTELLIGENT SURFACE-ASSISTED AERIAL NONTERRESTRIAL NETWORKS An Intelligent Synergy With Deep Reinforcement Learning
    Umer, Muhammad
    Mohsin, Muhammad Ahmed
    Kaushik, Aryan
    Nadeem, Qurrat-Ul-Ain
    Nasir, Ali Arshad
    Hassan, Syed Ali
    IEEE VEHICULAR TECHNOLOGY MAGAZINE, 2025,
  • [5] Aerial Reconfigurable Intelligent Surface-Assisted Channel Modeling Incorporating the Effect of UAV Fluctuations
    Wang, Zili
    Bian, Ji
    Wang, Cheng-Xiang
    Liu, Yu
    Tian, Jie
    IEEE COMMUNICATIONS LETTERS, 2024, 28 (07) : 1599 - 1603
  • [6] Outage analysis of reconfigurable intelligent surface-assisted space shift keying
    Jia, Xiaohui
    Yao, Fei
    Wang, Jiawei
    Deng, Keyan
    SIGNAL IMAGE AND VIDEO PROCESSING, 2023, 17 (07) : 3677 - 3682
  • [7] Outage analysis of reconfigurable intelligent surface-assisted space shift keying
    Xiaohui Jia
    Fei Yao
    Jiawei Wang
    Keyan Deng
    Signal, Image and Video Processing, 2023, 17 : 3677 - 3682
  • [8] Securing LPWANs: A Reconfigurable Intelligent Surface (RIS)-Assisted UAV Approach
    Khoshafa, Majid H.
    Ngatched, Telex M. N.
    Gadallah, Yasser
    Ahmed, Mohamed H.
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2024, 13 (01) : 158 - 162
  • [9] Reconfigurable Intelligent Surface-Assisted Spatial Scattering Modulation
    Zhu, Xusheng
    Yuan, Lei
    Kim, Kyeong Jin
    Li, Qingqing
    Zhang, Jiliang
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (01) : 192 - 196
  • [10] Reconfigurable Intelligent Surface-Assisted Passive Beamforming Attack
    Niu, Hong
    Xiao, Yue
    Lei, Xia
    Dan, Lilin
    Xiang, Wei
    Yuen, Chau
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2024, 19 : 8236 - 8247