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Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020, Proceedings

Research Article

A Random Access Control Scheme for a NOMA-Enabled LoRa Network

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  • @INPROCEEDINGS{10.1007/978-3-030-67720-6_28,
        author={Wei Wu and Wennai Wang and Jihai Yang and Bin Wang},
        title={A Random Access Control Scheme for a NOMA-Enabled LoRa Network},
        proceedings={Communications and Networking. 15th EAI International Conference, ChinaCom 2020, Shanghai, China, November 20-21, 2020,  Proceedings},
        proceedings_a={CHINACOM},
        year={2021},
        month={2},
        keywords={LoRa Distributed queueing Non-orthogonal multiple access Spreading factor allocation Optimal solution},
        doi={10.1007/978-3-030-67720-6_28}
    }
    
  • Wei Wu
    Wennai Wang
    Jihai Yang
    Bin Wang
    Year: 2021
    A Random Access Control Scheme for a NOMA-Enabled LoRa Network
    CHINACOM
    Springer
    DOI: 10.1007/978-3-030-67720-6_28
Wei Wu, Wennai Wang,*, Jihai Yang, Bin Wang
    *Contact email: wangwn@njupt.edu.com

    Abstract

    LoRa is one of the most prominent Low-Power Wide-Area Network (LPWAN) technologies, to accommodate pervasive Internet-of-Things (IoT) connectivities. However, its service capacity and scalability are limited due to the scarce channel resources and the Aloha-like random access mechanism specified by LoRaWAN. We propose a NOMA-enabled LoRa gateway, which permits multiple end-devices to transmit their data at the same time over a shared channel. The whole random access process are provided in detail, including collision resolution and transmission scheduling based on a Distributed Queuing (DQ) method. In addition to that, Spreading Factor (SF) allocation in the transmission scheduling phase is also considered and an optimal problem is formulated to achieve maximum data transmission rate. In order to solve the problem efficiently, an SF allocation algorithm is developed based on the matching theory. Numerical results show that our proposed scheme significantly enhances the sum achievable user rate when the number of users increases.

    Keywords
    LoRa Distributed queueing Non-orthogonal multiple access Spreading factor allocation Optimal solution
    Published
    2021-02-02
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-67720-6_28
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