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dc.contributor.authorZhang, Xiaoyuen_US
dc.contributor.authorXu, Wenyangen_US
dc.contributor.authorCai, Guofaen_US
dc.contributor.authorSong, Yangen_US
dc.contributor.authorChen, Guanrongen_US
dc.identifier.citationZhang, 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.
dc.description.abstractAlthough 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.en_US
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_US
dc.rights© 2022 IEEE. All rights reserved.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA new reconfigurable intelligent-surface-assisted LoRa systemen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.subject.keywordsBit Error Rateen_US
dc.subject.keywordsReconfigurable Intelligent Surfaceen_US
dc.description.acknowledgementThis 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.en_US
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