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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Veröffentlicht in:IEEE wireless communications letters Jg. 9; H. 4; S. 480 - 484
Hauptverfasser: Zhou, Yi, Yeoh, Phee Lep, Pan, Cunhua, Wang, Kezhi, Elkashlan, Maged, Wang, Zhongfeng, Vucetic, Branka, Li, Yonghui
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Piscataway IEEE 01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Algorithms
Computation offloading
Edge computing
joint optimization
latency minimization
Mobile computing
Mobile edge computing
Optimization
physical layer security
Security
ISSN:2162-2337, 2162-2345
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Zusammenfassung: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