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Joint Partial Offloading and Resource Allocation for Distributed Multi-access Edge Computing Enabled Vehicular Network
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  • Guifu Ma ,
  • Manjiang Hu ,
  • Xiaowei Wang ,
  • Di Wu ,
  • Haoran Li ,
  • Yougang Bian ,
  • Konglin Zhu
Guifu Ma
Hunan University

Corresponding Author:[email protected]

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Manjiang Hu
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Xiaowei Wang
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Haoran Li
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Yougang Bian
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Konglin Zhu
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Abstract

In the foreseeable Intelligent Transportation System (ITS), Intelligent Connected Vehicles (ICVs) will play an important role in improving travel efficiency and safety. However, it is challenging for ICVs to support the resource-hungry autonomous driving applications due to the limitation of hardware computing power. Fortunately, the emergence of Multi-access Edge Computing (MEC) helps overcome this limitation effectively. In this paper, we investigate the vehicle and edge server collaborative computation offloading problem by jointly optimizing the partial offloading ratio and resource allocation ratio.