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A New Design of RIS-Aided Hybrid NOMA Offloading in Wireless Powered MEC Networks

  • Lu Lv
  • , Hao Luo
  • , Long Yang
  • , Zhiguo Ding
  • , Arumugam Nallanathan
  • , Naofal Al-Dhahir
  • , Jian Chen
    • Xidian University
    • System-on-Chip Lab
    • Queen Mary University of London
    • Erik Jonsson School of Engineering and Computer Science

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Scopus citations

    Abstract

    We investigate a reconfigurable intelligent surface (RIS)-aided wireless powered mobile edge computing (MEC) network, where a new RIS-aided hybrid non-orthogonal multiple access (NOMA) offloading scheme is proposed to improve the efficiency of both MEC offloading and energy harvesting. A joint optimization framework for the transmit power, time allocation, and RIS phase shifts is developed to minimize the overall energy consumption of the network, subject to the energy causality and MEC offloading constraints. Despite of the optimization problem's non-convexity with highly coupled optimization variables, we devise a computationally-efficient algorithm to solve it iteratively. Simulation results are also provided to facilitate the performance evaluation of the RIS-aided wireless powered MEC, quantify the value of the RIS for energy efficient MEC offloading, and validate the performance gains of the proposed hybrid NOMA offloading over various baseline schemes.

    Original languageBritish English
    Title of host publication2023 IEEE 98th Vehicular Technology Conference, VTC 2023-Fall - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350329285
    DOIs
    StatePublished - 2023
    Event98th IEEE Vehicular Technology Conference, VTC 2023-Fall - Hong Kong, China
    Duration: 10 Oct 202313 Oct 2023

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Conference

    Conference98th IEEE Vehicular Technology Conference, VTC 2023-Fall
    Country/TerritoryChina
    CityHong Kong
    Period10/10/2313/10/23

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 7 - Affordable and Clean Energy
      SDG 7 Affordable and Clean Energy

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