A Power Allocation Strategy in Mobile Edge Computing for Maximizing Sum Secrecy Rate

This paper investigates the secure communication problem in the downlink of mobile edge computing (MEC) systems. A sum secrecy rate (SSR) maximization problem is formulated under transmission power and time constraints. To enhance the secrecy of the downlink transmission, we design the Geometric Wat...

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Bibliographic Details
Published inIEEE Vehicular Technology Conference pp. 1 - 5
Main Authors Mao, Jiahui, Liao, Wensong, Tan, Chong, Liu, Hong, Zheng, Min
Format Conference Proceeding
LanguageEnglish
Published IEEE 07.10.2024
Subjects
Benchmark testing
Downlink
Multi-access edge computing
Physical layer security
power allocation
Resource management
secrecy rate
Time factors
Transforms
Vehicular and wireless technologies
Water-Filling
Online AccessGet full text
ISSN2577-2465
DOI10.1109/VTC2024-Fall63153.2024.10757992

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Abstract This paper investigates the secure communication problem in the downlink of mobile edge computing (MEC) systems. A sum secrecy rate (SSR) maximization problem is formulated under transmission power and time constraints. To enhance the secrecy of the downlink transmission, we design the Geometric Water-Filling for SSR (GWF-SSR) algorithm for power allocation. Initially, we determine the minimum power allocation for each node to satisfy the transmission time constraint. Subsequently, the GWF-SSR algorithm is employed to allocate the remaining power. Numerical results demonstrate that the proposed algorithm outperforms existing benchmark algorithms. Besides, the GWF-SSR algorithm is superior to the Geometric Water-Filling (GWF) algorithm in terms of the SSR.
AbstractList This paper investigates the secure communication problem in the downlink of mobile edge computing (MEC) systems. A sum secrecy rate (SSR) maximization problem is formulated under transmission power and time constraints. To enhance the secrecy of the downlink transmission, we design the Geometric Water-Filling for SSR (GWF-SSR) algorithm for power allocation. Initially, we determine the minimum power allocation for each node to satisfy the transmission time constraint. Subsequently, the GWF-SSR algorithm is employed to allocate the remaining power. Numerical results demonstrate that the proposed algorithm outperforms existing benchmark algorithms. Besides, the GWF-SSR algorithm is superior to the Geometric Water-Filling (GWF) algorithm in terms of the SSR.
Author Liao, Wensong
Tan, Chong
Mao, Jiahui
Liu, Hong
Zheng, Min
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  givenname: Min
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  fullname: Zheng, Min
  email: min.zheng@mail.sim.ac.cn
  organization: Chinese Academy of Sciences,Shanghai Institute of Microsystem and Information Technology,Shanghai,China,200050
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Snippet This paper investigates the secure communication problem in the downlink of mobile edge computing (MEC) systems. A sum secrecy rate (SSR) maximization problem...
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SubjectTerms Benchmark testing
Downlink
Multi-access edge computing
Physical layer security
power allocation
Resource management
secrecy rate
Time factors
Transforms
Vehicular and wireless technologies
Water-Filling
Title A Power Allocation Strategy in Mobile Edge Computing for Maximizing Sum Secrecy Rate
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