Latency-aware secure transmission in MEC-assisted HSR communication systems

Abstract Mobile edge computing can provide short-range cloud computing capability for the mobile users, which is considered to be a promising technology in 5G communication. The mobile users offload some computing tasks to the edge server through the wireless backhaul link, which can reduce the ener...

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Autores principales:	Hao Xu, Ke Li, Jianfeng Cheng, Bo Jiang, Huai Yu
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Mobile edge computing Backhaul link Offload Secure transmission Energy consumption Telecommunication TK5101-6720 Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/e91a49c3f1a84df1a8a8ef1dcefc9bcc
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spelling	oai:doaj.org-article:e91a49c3f1a84df1a8a8ef1dcefc9bcc2021-11-28T12:14:02ZLatency-aware secure transmission in MEC-assisted HSR communication systems10.1186/s13634-021-00825-41687-6180https://doaj.org/article/e91a49c3f1a84df1a8a8ef1dcefc9bcc2021-11-01T00:00:00Zhttps://doi.org/10.1186/s13634-021-00825-4https://doaj.org/toc/1687-6180Abstract Mobile edge computing can provide short-range cloud computing capability for the mobile users, which is considered to be a promising technology in 5G communication. The mobile users offload some computing tasks to the edge server through the wireless backhaul link, which can reduce the energy consumption and the time latency. Meanwhile, due to the open characteristics of the wireless channel, the offloading tasks through the backhaul link may face the risk of eavesdropping. Therefore, the secure transmission based on physical layer security for the offloading tasks to the edge server is considered. The optimization problem of minimizing the energy consumption for the vehicular stations (VSs) in mobile edge computing-assisted high-speed railway communication system is studied in this paper. The energy consumption of the mobile users is generated by executing the local computing task and by transmitting the partial offloading task to the edge server. In this paper, a novel joint iterative optimization algorithm is proposed. By jointly optimizing the task scheduling, the task offloading and the transmission power, the energy consumption of all VSs is minimized under the constraint of the time latency. Numerical simulation results verify the effectiveness of the proposed algorithm.Hao XuKe LiJianfeng ChengBo JiangHuai YuSpringerOpenarticleMobile edge computingBackhaul linkOffloadSecure transmissionEnergy consumptionTelecommunicationTK5101-6720ElectronicsTK7800-8360ENEURASIP Journal on Advances in Signal Processing, Vol 2021, Iss 1, Pp 1-21 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Mobile edge computing Backhaul link Offload Secure transmission Energy consumption Telecommunication TK5101-6720 Electronics TK7800-8360
spellingShingle	Mobile edge computing Backhaul link Offload Secure transmission Energy consumption Telecommunication TK5101-6720 Electronics TK7800-8360 Hao Xu Ke Li Jianfeng Cheng Bo Jiang Huai Yu Latency-aware secure transmission in MEC-assisted HSR communication systems
description	Abstract Mobile edge computing can provide short-range cloud computing capability for the mobile users, which is considered to be a promising technology in 5G communication. The mobile users offload some computing tasks to the edge server through the wireless backhaul link, which can reduce the energy consumption and the time latency. Meanwhile, due to the open characteristics of the wireless channel, the offloading tasks through the backhaul link may face the risk of eavesdropping. Therefore, the secure transmission based on physical layer security for the offloading tasks to the edge server is considered. The optimization problem of minimizing the energy consumption for the vehicular stations (VSs) in mobile edge computing-assisted high-speed railway communication system is studied in this paper. The energy consumption of the mobile users is generated by executing the local computing task and by transmitting the partial offloading task to the edge server. In this paper, a novel joint iterative optimization algorithm is proposed. By jointly optimizing the task scheduling, the task offloading and the transmission power, the energy consumption of all VSs is minimized under the constraint of the time latency. Numerical simulation results verify the effectiveness of the proposed algorithm.
format	article
author	Hao Xu Ke Li Jianfeng Cheng Bo Jiang Huai Yu
author_facet	Hao Xu Ke Li Jianfeng Cheng Bo Jiang Huai Yu
author_sort	Hao Xu
title	Latency-aware secure transmission in MEC-assisted HSR communication systems
title_short	Latency-aware secure transmission in MEC-assisted HSR communication systems
title_full	Latency-aware secure transmission in MEC-assisted HSR communication systems
title_fullStr	Latency-aware secure transmission in MEC-assisted HSR communication systems
title_full_unstemmed	Latency-aware secure transmission in MEC-assisted HSR communication systems
title_sort	latency-aware secure transmission in mec-assisted hsr communication systems
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/e91a49c3f1a84df1a8a8ef1dcefc9bcc
work_keys_str_mv	AT haoxu latencyawaresecuretransmissioninmecassistedhsrcommunicationsystems AT keli latencyawaresecuretransmissioninmecassistedhsrcommunicationsystems AT jianfengcheng latencyawaresecuretransmissioninmecassistedhsrcommunicationsystems AT bojiang latencyawaresecuretransmissioninmecassistedhsrcommunicationsystems AT huaiyu latencyawaresecuretransmissioninmecassistedhsrcommunicationsystems
_version_	1718408173248839680

Latency-aware secure transmission in MEC-assisted HSR communication systems

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