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NOMA-Enabled Delay Minimization for Marine Multi-access Edge Computing Networks: A Contract Incentive Scheme

  • Zhishen Luo
  • , Minghui Dai
  • , Yuan Wu
  • , Liping Qian
  • , Bin Lin
  • , Zhou Su
  • University of Macau
  • Zhuhai UM Science & Technology Research Institute
  • Zhejiang University of Technology
  • Dalian Maritime University

科研成果: 书/报告/会议事项章节会议稿件同行评审

3 引用 (Scopus)

摘要

With the continuous improvement of smart oceans, marine networks become more intelligent and efficient in monitoring marine environments and marine resources. However, the limited communication resources (such as bandwidth, battery capacity, etc.) of marine wireless devices have become the major bottleneck problems of marine networks. Additionally, the rationality of marine communication devices lead to the fact that they are not to perform tasks voluntarily. To address these issues, in this paper, we investigate a contract incentive scheme for non-orthogonal multiple access (NOMA) enabled delay minimization for marine multi-access edge computing (MEC) networks. Specifically, we formulate the utility optimization problems for unmanned surface vessels (USVs) and unmanned aerial vehicles (UAVs), respectively. To solve the optimization problems, we propose innovative algorithms which can maximize the utility of each party. We conduct simulation results to verify the performance of the algorithms, and the result shows its efficiency and effectiveness.

源语言英语
主期刊名2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
131-135
页数5
ISBN(电子版)9781665496261
DOI
出版状态已出版 - 2023
活动24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Shanghai, 中国
期限: 25 9月 202328 9月 2023

出版系列

姓名IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC

会议

会议24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
国家/地区中国
Shanghai
时期25/09/2328/09/23

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 14 - 水下生物
    可持续发展目标 14 水下生物

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