Poster Abstract: Deep Reinforcement Learning-based Resource Allocation in Vehicular Fog Computing

Seung Seob Lee, Sukyoung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In vehicular fog computing (VFC), it is challenging to design efficient resource allocation (RA) to satisfy the latency requirements of emerging vehicular applications due to the limited network resources and dynamically changing resource availability. In this paper, we formulate the problem of VFC resource allocation (VFC-RA) and utilize reinforcement learning (RL) to predict the availability of VFC resources and service demands. We also propose a training method to decompose the high dimensional continuous action space into a three-dimensional grid so that the efficiency of training deep neural networks (DNNs) can be improved.

Original languageEnglish
Title of host publicationINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1029-1030
Number of pages2
ISBN (Electronic)9781728118789
DOIs
Publication statusPublished - 2019 Apr
Event2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 - Paris, France
Duration: 2019 Apr 292019 May 2

Publication series

NameINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019

Conference

Conference2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
CountryFrance
CityParis
Period19/4/2919/5/2

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Cite this

Lee, S. S., & Lee, S. (2019). Poster Abstract: Deep Reinforcement Learning-based Resource Allocation in Vehicular Fog Computing. In INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 (pp. 1029-1030). [8845095] (INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INFCOMW.2019.8845095