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Industrial Networks and Intelligent Systems. 8th EAI International Conference, INISCOM 2022, Virtual Event, April 21–22, 2022, Proceedings

Research Article

Performance Analysis of RF Energy Harvesting NOMA Mobile Edge Computing in Multiple Devices IIoT Networks

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  • @INPROCEEDINGS{10.1007/978-3-031-08878-0_5,
        author={Van-Truong Truong and Dac-Binh Ha and Tien-Vu Truong and Anand Nayyar},
        title={Performance Analysis of RF Energy Harvesting NOMA Mobile Edge Computing in Multiple Devices IIoT Networks},
        proceedings={Industrial Networks and Intelligent Systems. 8th EAI International Conference, INISCOM 2022, Virtual Event, April 21--22, 2022, Proceedings},
        proceedings_a={INISCOM},
        year={2022},
        month={6},
        keywords={Mobile edge computing Non-orthogonal multiple access Uplink NOMA Successful computation probability Multiple devices},
        doi={10.1007/978-3-031-08878-0_5}
    }
    
  • Van-Truong Truong
    Dac-Binh Ha
    Tien-Vu Truong
    Anand Nayyar
    Year: 2022
    Performance Analysis of RF Energy Harvesting NOMA Mobile Edge Computing in Multiple Devices IIoT Networks
    INISCOM
    Springer
    DOI: 10.1007/978-3-031-08878-0_5
Van-Truong Truong1, Dac-Binh Ha1, Tien-Vu Truong2, Anand Nayyar3,*
  • 1: Faculty of Electrical-Electronic Engineering, Duy Tan University
  • 2: Faculty of Information Technology
  • 3: Science and Technology Department
*Contact email: anandnayyar@duytan.edu.vn

Abstract

This paper considers the efficient offloading and computation design for radio frequency energy harvesting (RF EH) uplink non-orthogonal multiple access (NOMA) industrial Internet of Thing (IIoT) network. Specifically, the system contains multiple energy-constrained devices classified into two clusters and a MEC server deployed in a wireless access point (AP). We propose a four-phase communication protocol, namely EOCD, consisting of EH, task offloading, task computation, and information feedback transmission. Cluster head (CH) scheme is applied based on the channel information state to harvest RF energy from the AP in the first phase. In the second phase, CHs offload their workload to the AP using NOMA. The AP decodes the information signal and supports the computation of offload tasks in the third phase. Finally, AP feedbacks the result to each CH. Accordingly, we derive the closed-form expressions for the successful computation probability (SCP) of the considered system and CHs. We use Monte Carlo simulations to verify the results of the mathematical analysis. The numerical results demonstrate the effects of critical system parameters such as the time switching ratio, the transmit power, the number of devices in the cluster, and the task length of our proposed EOCD scheme compared to the conventional orthogonal multiple access (OMA) schemes.

Keywords
Mobile edge computing Non-orthogonal multiple access Uplink NOMA Successful computation probability Multiple devices
Published
2022-06-14
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-08878-0_5
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