Offloading Optimization for Low-Latency Secure Mobile Edge Computing Systems

This letter 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 comp...

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Bibliographic Details
Published in:IEEE wireless communications letters Vol. 9; no. 4; pp. 480 - 484
Main Authors: Zhou, Yi, Yeoh, Phee Lep, Pan, Cunhua, Wang, Kezhi, Elkashlan, Maged, Wang, Zhongfeng, Vucetic, Branka, Li, Yonghui
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Computation offloading
Edge computing
joint optimization
latency minimization
Mobile computing
Mobile edge computing
Optimization
physical layer security
Security
ISSN:2162-2337, 2162-2345
Online Access:Get full text
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Summary:This letter 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.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2019.2959579