Secure Computation Efficiency Maximization in NOMA-Enabled Mobile Edge Computing Networks

In this paper, a computation efficiency maximization problem is studied in a multi-user non-orthogonal multiple access (NOMA) enabled mobile edge computing (MEC) networks. Physical layer security is used to prevent multi-user computing tasks from eavesdropping. The secure computation efficiency opti...

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Bibliographic Details
Published in:IEEE access 2019, Vol.7, p.87504-87512
Main Authors: Lin, Hongcheng, Cao, Ye, Zhong, Yijie, Liu, Pengpeng
Format: Article
Language:English
Subjects:
Central processing units
computation efficiency
Computational efficiency
Computing time
CPUs
Eavesdropping
Edge computing
Efficiency
Energy consumption
Iterative algorithms
Iterative methods
Mathematical programming
Maximization
Mobile computing
Mobile edge computing
NOMA
non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
partial offloading
Physical layer security
Security
sequential fractional programming
Task analysis
Wireless communication
Wireless networks
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Summary:In this paper, a computation efficiency maximization problem is studied in a multi-user non-orthogonal multiple access (NOMA) enabled mobile edge computing (MEC) networks. Physical layer security is used to prevent multi-user computing tasks from eavesdropping. The secure computation efficiency optimization problem is formulated by optimizing the transmission power and central processing unit (CPU) frequency jointly in the NOMA-enabled MEC networks. The problem is non-concave and challenging to solve, and a low complexity sequential fractional programming is proposed to solve this problem. The numerical results are provided to verify that the proposed scheme is superior to the traditional scheme in terms of the secure computation efficiency and our designed iteration algorithm's efficiency is verified.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2925808