Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems

Research output: Contribution to journalArticle



  • Yi Zhou
  • Phee Lep Yeoh
  • Cunhua Pan
  • Kezhi Wang
  • Maged Elkashlan
  • Zhongfeng Wang
  • Branka Vucetic
  • Yonghui Li

External departments

  • University of Sydney
  • Queen Mary University of London
  • Chinese Academy of Sciences


Original languageEnglish
Pages (from-to)480-484
JournalIEEE Wireless Communications Letters
Issue number4
Early online date13 Dec 2019
Publication statusPublished - Apr 2020
Publication type

Research output: Contribution to journalArticle


This paper proposes a low-latency secure mobile edge computing (MEC) system where multiple users offload computing tasks to a base station in the presence of an eavesdropper. We jointly optimize the users’ transmit power, computing capacity allocation, and user association to minimize the computing and transmission latencies over all users subject to security and computing resource constraints. Numerical results show that our proposed algorithm outperforms baseline strategies. Furthermore, we highlight a novel trade-off between the latency and security of MEC systems.

Download Title (Resource: downloads_chaqrt)

No data available