A new reconfigurable intelligent-surface-assisted LoRa system

Although LoRa modulation can achieve low-power and long-range transmission, its performance is significantly affected by fading channels. On the other hand, its low data rate limits the capacity. To mitigate these disadvantages, a new reconfigurable intelligent surface (RIS) assisted LoRa uplink sys...

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Main Authors: Zhang, Xiaoyu, Xu, Wenyang, Cai, Guofa, Song, Yang, Chen, Guanrong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
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Online Access:https://hdl.handle.net/10356/163810
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1638102022-12-19T02:32:59Z A new reconfigurable intelligent-surface-assisted LoRa system Zhang, Xiaoyu Xu, Wenyang Cai, Guofa Song, Yang Chen, Guanrong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Bit Error Rate Reconfigurable Intelligent Surface Although LoRa modulation can achieve low-power and long-range transmission, its performance is significantly affected by fading channels. On the other hand, its low data rate limits the capacity. To mitigate these disadvantages, a new reconfigurable intelligent surface (RIS) assisted LoRa uplink system is proposed in this paper, where the reflection coefficients of the RIS are generated by utilizing an M-ary differential phase shift keying modulator. Moreover, a low-complexity non-coherent receiver is designed for the proposed system. The new system is able to inherit the non-coherent detection of the conventional LoRa system and also transmit additional information of log2M bits while reducing the impact of the fading channels. Furthermore, the bit-error-rate, symbol-error-rate and throughput expressions of the system are derived in closed form. Theoretical and simulated results show that the system has better performance than the conventional LoRa system and single-relay LoRa system. This work was supported in part by NSF of China under Grants 62071129 and 61801128, in part by the Hong Kong Research Grants Council under the GRF Grant CityU 11206320, and in part by the Project of Department of Education of Guangdong Province under Grant 2021XSLT020. 2022-12-19T02:32:59Z 2022-12-19T02:32:59Z 2022 Journal Article Zhang, X., Xu, W., Cai, G., Song, Y. & Chen, G. (2022). A new reconfigurable intelligent-surface-assisted LoRa system. IEEE Transactions On Vehicular Technology, 71(8), 9055-9060. https://dx.doi.org/10.1109/TVT.2022.3173675 0018-9545 https://hdl.handle.net/10356/163810 10.1109/TVT.2022.3173675 2-s2.0-85132527246 8 71 9055 9060 en IEEE Transactions on Vehicular Technology © 2022 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Bit Error Rate
Reconfigurable Intelligent Surface
spellingShingle Engineering::Electrical and electronic engineering
Bit Error Rate
Reconfigurable Intelligent Surface
Zhang, Xiaoyu
Xu, Wenyang
Cai, Guofa
Song, Yang
Chen, Guanrong
A new reconfigurable intelligent-surface-assisted LoRa system
description Although LoRa modulation can achieve low-power and long-range transmission, its performance is significantly affected by fading channels. On the other hand, its low data rate limits the capacity. To mitigate these disadvantages, a new reconfigurable intelligent surface (RIS) assisted LoRa uplink system is proposed in this paper, where the reflection coefficients of the RIS are generated by utilizing an M-ary differential phase shift keying modulator. Moreover, a low-complexity non-coherent receiver is designed for the proposed system. The new system is able to inherit the non-coherent detection of the conventional LoRa system and also transmit additional information of log2M bits while reducing the impact of the fading channels. Furthermore, the bit-error-rate, symbol-error-rate and throughput expressions of the system are derived in closed form. Theoretical and simulated results show that the system has better performance than the conventional LoRa system and single-relay LoRa system.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Zhang, Xiaoyu
Xu, Wenyang
Cai, Guofa
Song, Yang
Chen, Guanrong
format Article
author Zhang, Xiaoyu
Xu, Wenyang
Cai, Guofa
Song, Yang
Chen, Guanrong
author_sort Zhang, Xiaoyu
title A new reconfigurable intelligent-surface-assisted LoRa system
title_short A new reconfigurable intelligent-surface-assisted LoRa system
title_full A new reconfigurable intelligent-surface-assisted LoRa system
title_fullStr A new reconfigurable intelligent-surface-assisted LoRa system
title_full_unstemmed A new reconfigurable intelligent-surface-assisted LoRa system
title_sort new reconfigurable intelligent-surface-assisted lora system
publishDate 2022
url https://hdl.handle.net/10356/163810
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