Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems
In order to examine the potential and synergetic aspects of intelligent reflecting surface (IRS) techniques for Internet-of-Things (IoT), we study an IRS-aided Long Range (LoRa) system in this paper. Specifically, to facilitate the acquisition of accurate channel state information (CSI) for effectiv...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-03-01
|
| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.2024560?viewType=HTML |
| _version_ | 1797219383904305152 |
|---|---|
| author | Jae-Mo Kang Dong-Woo Lim |
| author_facet | Jae-Mo Kang Dong-Woo Lim |
| author_sort | Jae-Mo Kang |
| collection | DOAJ |
| description | In order to examine the potential and synergetic aspects of intelligent reflecting surface (IRS) techniques for Internet-of-Things (IoT), we study an IRS-aided Long Range (LoRa) system in this paper. Specifically, to facilitate the acquisition of accurate channel state information (CSI) for effective reflection of LoRa signals, we first propose an optimal training design for the least squares channel estimation with LoRa modulation, and then, by utilizing the acquired CSI, we develop a high-performing passive beamforming scheme based on a signal-to-ratio (SNR) criterion. Numerical results show that the proposed training design considerably outperforms the baseline schemes, and the proposed passive beamforming design results in a significant improvement in performance over that of the conventional LoRa system, thereby demonstrating the feasibility of extending coverage areas of LoRa systems with the aid of IRS. |
| first_indexed | 2024-04-24T12:32:47Z |
| format | Article |
| id | doaj.art-4a0794845d694c6a9e94d536f8432bbf |
| institution | Directory Open Access Journal |
| issn | 2473-6988 |
| language | English |
| last_indexed | 2024-04-24T12:32:47Z |
| publishDate | 2024-03-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | AIMS Mathematics |
| spelling | doaj.art-4a0794845d694c6a9e94d536f8432bbf2024-04-08T01:35:07ZengAIMS PressAIMS Mathematics2473-69882024-03-0195114231143110.3934/math.2024560Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systemsJae-Mo Kang0Dong-Woo Lim 11. Department of Artificial Intelligence, Kyungpook National University, Daegu 41566, South Korea2. Department of Information & Communication Engineering, Changwon National University, Changwon 51140, South KoreaIn order to examine the potential and synergetic aspects of intelligent reflecting surface (IRS) techniques for Internet-of-Things (IoT), we study an IRS-aided Long Range (LoRa) system in this paper. Specifically, to facilitate the acquisition of accurate channel state information (CSI) for effective reflection of LoRa signals, we first propose an optimal training design for the least squares channel estimation with LoRa modulation, and then, by utilizing the acquired CSI, we develop a high-performing passive beamforming scheme based on a signal-to-ratio (SNR) criterion. Numerical results show that the proposed training design considerably outperforms the baseline schemes, and the proposed passive beamforming design results in a significant improvement in performance over that of the conventional LoRa system, thereby demonstrating the feasibility of extending coverage areas of LoRa systems with the aid of IRS.https://www.aimspress.com/article/doi/10.3934/math.2024560?viewType=HTMLintelligent reflecting surface (irs)internet-of-things (iot)long range (lora)passive beamformingchannel estimationtraining design |
| spellingShingle | Jae-Mo Kang Dong-Woo Lim Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems AIMS Mathematics intelligent reflecting surface (irs) internet-of-things (iot) long range (lora) passive beamforming channel estimation training design |
| title | Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems |
| title_full | Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems |
| title_fullStr | Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems |
| title_full_unstemmed | Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems |
| title_short | Joint channel training and passive beamforming design for intelligent reflecting surface-aided LoRa systems |
| title_sort | joint channel training and passive beamforming design for intelligent reflecting surface aided lora systems |
| topic | intelligent reflecting surface (irs) internet-of-things (iot) long range (lora) passive beamforming channel estimation training design |
| url | https://www.aimspress.com/article/doi/10.3934/math.2024560?viewType=HTML |
| work_keys_str_mv | AT jaemokang jointchanneltrainingandpassivebeamformingdesignforintelligentreflectingsurfaceaidedlorasystems AT dongwoolim jointchanneltrainingandpassivebeamformingdesignforintelligentreflectingsurfaceaidedlorasystems |