A learning-based expected best offloading strategy in wireless edge networks

Yi Chen Wu, Thinh Quang DInh, Yaru Fu, Che Lin, Tony Q.S. Quek

研究成果: Conference contribution

3 引文 斯高帕斯(Scopus)

摘要

Recently, Mobile-Edge Computing (MEC) has been considered as a powerful supplement to a wireless network by processing computationally intensive tasks for resource-limited mobile devices. However, despite saving computational energy at User Equipment (UE), there is additional transmission energy consumption. As a result, the joint offloading strategy should be carefully selected to save energy and computational time. In this work, we investigated a sum cost minimization problem in a multi-UE multi-computing access point (CAP) system with time-varying channels. Our approach combines the optimization-based resource allocation algorithm with a Q-learning-based strategy selection mechanism. Without the need for communication overhead for CSI and inter- neighborhood cost value exchange, our algorithm shows prominent performance over the benchmark schemes with moderate assumptions.

原文English
主出版物標題2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728109626
DOIs
出版狀態Published - 2019 十二月
事件2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
持續時間: 2019 十二月 92019 十二月 13

出版系列

名字2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
國家/地區United States
城市Waikoloa
期間19-12-0919-12-13

All Science Journal Classification (ASJC) codes

  • 電腦網路與通信
  • 硬體和架構
  • 資訊系統
  • 訊號處理
  • 資訊系統與管理
  • 安全、風險、可靠性和品質
  • 媒體技術
  • 健康資訊學

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