Secure computation offloading assisted by intelligent reflection surface for mobile edge computing network
As an novel paradigm, computation offloading in the mobile edge computing (MEC) system can effectively support the resource-intensive applications for the mobile devices (MD) equipped with limited computing capability. However, the hostile radio transmission and data leakage during the offloading pr...
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| Published in: | Physical communication Vol. 57; p. 102003 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
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Elsevier B.V
01.04.2023
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| ISSN: | 1874-4907, 1876-3219 |
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| Abstract | As an novel paradigm, computation offloading in the mobile edge computing (MEC) system can effectively support the resource-intensive applications for the mobile devices (MD) equipped with limited computing capability. However, the hostile radio transmission and data leakage during the offloading process may erode the MEC system’s potential. To tackle these hindrances, we investigate an IRS-assisted secure MEC system with eavesdroppers, where the intelligent reflecting surface (IRS) is deployed to enhance the communication between the MD and the AP equipped with edge servers and the malicious eavesdroppers may attack the wireless data offloaded by MD. The MD opt for offloading part of the tasks to the edge server for execution to support the computation-intensive applications. Moreover, the relevant latency minimization problem is formulated by optimizing the offloading ratio, the allocation of edge server computing capability, the multiple-user-detection (MUD) matrix and the IRS phase shift parameters, subject to the constraints of edge computation resource and practical IRS phase shifts. Then, the original problem is decouple into two subproblem, and the computing and communication subproblems are alternatively optimized by block coordinate descent (BCD) method with low complexity. Finally, simulation results demonstrate that the proposed scheme can significantly enhance the performance of secure offloading in the MEC system. |
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| AbstractList | As an novel paradigm, computation offloading in the mobile edge computing (MEC) system can effectively support the resource-intensive applications for the mobile devices (MD) equipped with limited computing capability. However, the hostile radio transmission and data leakage during the offloading process may erode the MEC system’s potential. To tackle these hindrances, we investigate an IRS-assisted secure MEC system with eavesdroppers, where the intelligent reflecting surface (IRS) is deployed to enhance the communication between the MD and the AP equipped with edge servers and the malicious eavesdroppers may attack the wireless data offloaded by MD. The MD opt for offloading part of the tasks to the edge server for execution to support the computation-intensive applications. Moreover, the relevant latency minimization problem is formulated by optimizing the offloading ratio, the allocation of edge server computing capability, the multiple-user-detection (MUD) matrix and the IRS phase shift parameters, subject to the constraints of edge computation resource and practical IRS phase shifts. Then, the original problem is decouple into two subproblem, and the computing and communication subproblems are alternatively optimized by block coordinate descent (BCD) method with low complexity. Finally, simulation results demonstrate that the proposed scheme can significantly enhance the performance of secure offloading in the MEC system. |
| ArticleNumber | 102003 |
| Author | Li, Ruijie Chen, Yun Xu, Hongbo Zhang, Guoping Chen, Xue |
| Author_xml | – sequence: 1 givenname: Xue surname: Chen fullname: Chen, Xue – sequence: 2 givenname: Hongbo surname: Xu fullname: Xu, Hongbo – sequence: 3 givenname: Guoping surname: Zhang fullname: Zhang, Guoping email: gpzhang@ccnu.edu.cn – sequence: 4 givenname: Yun surname: Chen fullname: Chen, Yun – sequence: 5 givenname: Ruijie surname: Li fullname: Li, Ruijie |
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| Cites_doi | 10.1109/TWC.2020.2979456 10.1007/s11277-021-09433-9 10.1109/TCOMM.2021.3064947 10.1016/j.aeue.2020.153134 10.1109/TWC.2020.2990766 10.1016/j.comnet.2020.107446 10.1109/TSP.2020.3019666 10.1109/TII.2021.3059640 10.1109/LWC.2019.2959579 10.1109/LCOMM.2021.3074621 10.1109/LCOMM.2019.2924214 10.1109/TCOMM.2022.3151767 10.1109/SURV.2014.012314.00178 10.1109/JSAC.2020.3007043 10.1109/TSP.2011.2147784 10.1016/j.pmcj.2021.101368 10.1109/TCOMM.2019.2958916 10.1109/LWC.2019.2919685 10.1016/j.aeue.2020.153372 10.1109/TCOMM.2021.3119075 10.1109/JSAC.2020.3007035 10.1109/TSP.2014.2303422 10.1109/JSAC.2020.3000814 10.1109/LWC.2021.3073406 10.1109/TWC.2019.2931315 10.1007/s11432-020-3261-5 10.1109/TCOMM.2019.2947921 10.1109/TCOMM.2020.3024621 10.1109/LWC.2020.3034388 10.1109/TWC.2017.2785305 10.1109/COMST.2017.2745201 10.1109/JSAC.2016.2525418 |
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| Keywords | Communication design Intelligent reflecting surface Computation setting Mobile edge computing Secure offloading Block coordinate descent |
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| SubjectTerms | Block coordinate descent Communication design Computation setting Intelligent reflecting surface Mobile edge computing Secure offloading |
| Title | Secure computation offloading assisted by intelligent reflection surface for mobile edge computing network |
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