Deep reinforcement learning-based task offloading decision in the time varying channel

Jinkyo Jeong, Il Min Kim, Daesik Hong

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

Abstract

This paper proposes a dynamic task offloading decision control scheme to minimize the total delay to execute computation task taking into account the time-varying channel. Specifically, we consider the practical task offloading process, where executing computation task is carried out over multiple channel coherence times. In order to make an accurate decision on the task offloading process performed over multiple channel coherence times, we utilize the model-free reinforcement learning, since environment dynamics of the system, channel transition probabilities, is challenging to estimate. We formulate a problem of minimizing the total delay of executing computation task based on a Markov decision process (MDP). In order to solve the MDP problem, we develop a model-free reinforcement learning algorithm. Simulation results show that our proposed scheme outperforms the conventional scheme.

Original languageEnglish
Title of host publication2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191614
DOIs
Publication statusPublished - 2021 Jan 31
Event2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju, Korea, Republic of
Duration: 2021 Jan 312021 Feb 3

Publication series

Name2021 International Conference on Electronics, Information, and Communication, ICEIC 2021

Conference

Conference2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
Country/TerritoryKorea, Republic of
CityJeju
Period21/1/3121/2/3

Bibliographical note

Funding Information:
ACKNOWLEDGEMENTS This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029) and in part by Sam-sung Research in Samsung Electronics.

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation

Fingerprint

Dive into the research topics of 'Deep reinforcement learning-based task offloading decision in the time varying channel'. Together they form a unique fingerprint.

Cite this