A Research on Secure Task Offloading in MEC Systems Assisted by Aerial IRS

Chen Zhiwen; Cui Miao; Zhang Guangchi

doi:10.12052/gdutxb.240077

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

A Research on Secure Task Offloading in MEC Systems Assisted by Aerial IRS

更新时间：2026-05-27

- A Research on Secure Task Offloading in MEC Systems Assisted by Aerial IRS
- Vol. 42, Issue 3, Pages: 111-122(2025)
- 作者机构：
  
  广东工业大学信息工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240077
  CLC： TN929.5
- Published：2025
- 稿件说明：
移动端阅览
陈智文, 崔苗, 张广驰. 空中IRS辅助移动边缘计算的任务安全卸载研究[J]. 广东工业大学学报, 2025, 42(3): 111–122.

Chen Zhiwen, Cui Miao, Zhang Guangchi. A Research on Secure Task Offloading in MEC Systems Assisted by Aerial IRS[J]. 2025, 42(3): 111-122.
陈智文, 崔苗, 张广驰. 空中IRS辅助移动边缘计算的任务安全卸载研究[J]. 广东工业大学学报, 2025, 42(3): 111–122. DOI： 10.12052/gdutxb.240077

Chen Zhiwen, Cui Miao, Zhang Guangchi. A Research on Secure Task Offloading in MEC Systems Assisted by Aerial IRS[J]. 2025, 42(3): 111-122. DOI： 10.12052/gdutxb.240077.

摘要

空中智能反射面(Intelligent Reflecting Surfaces

IRS)结合了空中平台与IRS的优势，具有灵活调控无线信道的能力。在移动边缘计算(Mobile Edge Computing

MEC)系统中，物联网设备通过无线通信方式卸载计算任务。由于障碍物阻挡导致的信道衰减和无线信道的广播特性，MEC系统面临卸载速率受限和计算任务信息泄露的风险。本文提出利用空中IRS辅助MEC系统的任务安全卸载，以解决上述问题。在该系统中，物联网设备在分配的时隙内将计算任务卸载到MEC 服务器进行计算，空中IRS通过动态调整反射相移和位置，为任务卸载创建安全的信道条件。本文提出一种系统资源联合优化策略，在能量和计算需求约束下，综合优化IRS相移、时隙分配、计算频率、发射功率和IRS位置，以最大化物联网设备的最小安全计算速率。为解决该非凸优化问题，本文采用块坐标下降法分解原问题，并结合半正定松弛法和连续凸逼近法，将非凸问题转化为可解的凸问题。仿真结果表明，本文所提方案能有效提升MEC系统的安全计算能力。

Abstract

Aerial Intelligent Reflecting Surfaces (IRS) by combining the advantages of aerial platforms and IRS

have the ability to flexibly control wireless channels. In mobile edge computing (MEC) systems

Internet of Things (IoT) devices offload computational tasks via wireless communication. Due to channel attenuation caused by obstacles and the broadcast nature of wireless channels

MEC systems face the risks of limited offloading rates and information leakage. A secure task offloading scheme is proposed for MEC systems assisted by aerial IRS to address these issues. In this system

IoT devices offloaded computational tasks to the MEC server within allocated time slots

while an eavesdropper attempted to intercept the information. The aerial IRS dynamically adjusted its reflection phase shifts and position to create secure channel conditions for task offloading. A joint optimization strategy was developed to optimize IRS phase shifts

time slot allocation

computation frequency

transmit power

and IRS position under energy and computation constraints. The original non-convex problem was decomposed using the block coordinate descent method

and a combination of the semidefinite relaxation and successive convex approximation methods was applied to convert it into a solvable convex problem. Simulation results show that the proposed scheme effectively improves the secure computation capability of the system.

关键词

Keywords

references

SU R, ZHANG D, VENKATESAN R, et al . Resource allocation for network slicing in 5G telecommunication networks: a survey of principles and models[J ] . IEEE Network, 2019, 33(6): 172-179.

ABBAS N, ZHANG Y, TAHERKORDI A, et al . Mobile edge computing: a survey[J ] . IEEE Internet of Things Journal, 2017, 5(1): 450-465.

ZHANG Y L, LIANG Y Z, YIN M J, et al . Survey on the methods of computation offloading in mobile edge computing[J ] . Chinese Journal of Computers, 2021, 44(12): 2406-2430.

WU M, SONG Q, GUO L, et al . Energy-efficient secure computation offloading in wireless powered mobile edge computing systems[J ] . IEEE Transactions on Vehicular Technology, 2023, 72(5): 6907-6912.

MA F S, WANG Y, ZHANG G W, et al . Physical layer security schemes in space-integrated-ground infor mation network[J ] . Space-Integrated-Ground Information Networks, 2020, 1(2): 73-80.

WU Q, ZHANG R. Towards smart and reconfigurable environment: intelligent reflecting surface aided wireless network[J]. IEEE Communications Magazine, 2019, 58(1): 106-112.

CUI M, ZHANG G, ZHANG R. Secure wireless communication via intelligent reflecting surface[J]. IEEE Wireless Communications Letters, 2019, 8(5): 1410-1414.

BAI T, PAN C, DENG Y, et al . Latency minimization for intelligent reflecting surface aided mobile edge computing[J ] . IEEE Journal on Selected Areas in Communications, 2020, 38(11): 2666-2682.

XU Z, LIU J, ZOU J, et al . Energy-efficient design for IRS-assisted NOMA-based mobile edge computing[J ] . IEEE Communications Letters, 2022, 26(7): 1618-1622.

CHU Z, XIAO P, SHOJAFAR M, et al . Intelligent reflecting surface assisted mobile edge computing for Internet of things[J ] . IEEE Wireless Communications Letters, 2020, 10(3): 619-623.

CHEN Y L, ZENG X, LI Y L, et al . Double reconfigurable intelligent surface-aided green internet of th ings edge computing for research on computation capacity[J ] . Journal of Guangdong University of Technology, 2024, 41(3): 110-118.

LI B, WU W, LI Y, et al . Intelligent reflecting surface and artificial-noise-assisted secure transmission of MEC system[J ] . IEEE Internet of Things Journal, 2021, 9(13): 11477-11488.

MAO S, LIU L, ZHANG N, et al . Reconfigurable intelligent surface-assisted secure mobile edge computing networks[J ] . IEEE Transactions on Vehicular Technology, 2022, 71(6): 6647-6660.

LI B, LIAO J, WU W, et al . Intelligent reflecting surface assisted secure computation of wireless powered MEC system[J ] . IEEE Transactions on Mobile Computing, 2023, 23(4): 3048-3059.

LIU Y, SU Z, WANG Y. Energy-efficient and physical-layer secure computation offloading in blockchain-empowered internet of things[J]. IEEE Internet of Things Journal, 2022, 10(8): 6598-6610.

WU Q, ZHOU X, CHEN W, et al . IRS-aided WPCNs: a new optimization framework for dynamic IRS beamforming[J ] . IEEE Transactions on Wireless Communications, 2021, 21(7): 4725-4739.

NGUYEN-KHA H, NGUYEN H V, LE M T P, et al . Joint UAV placement and IRS phase shift optimization in downlink networks[J ] . IEEE Access, 2022, 10: 111221-111231.

JIANG H, BAO Z, WANG M, et al . Aerial IRS-enabled secure mobile communications: joint 3D trajectory and beamforming design[J ] . IEEE Wireless Communications Letters, 2023

LIU X, YU Y, LI F, et al . Throughput maximization for RIS-UAV relaying communications[J ] . IEEE Transactions on Intelligent Transportation Systems, 2022, 23(10): 19569-19574.

LU H, ZENG Y, JIN S, et al . Aerial intelligent reflecting surface: joint placement and passive beamforming design with 3D beam flattening[J ] . IEEE Transactions on Wireless Communications, 2021, 20(7): 4128-4143.

WANG F, XU J, CUI S. Optimal energy allocation and task offloading policy for wireless powered mobile edge computing systems[J]. IEEE Transactions on Wireless Communications, 2020, 19(4): 2443-2459.

XU Y, ZHANG T, YANG D, et al . Joint resource and trajectory optimization for security in UAV-assisted MEC systems[J ] . IEEE Transactions on Communications, 2020, 69(1): 573-588.

ZHANG T, XU Y, LOO J, et al . Joint computation and communication design for UAV-assisted mobile edge computing in IoT[J ] . IEEE Transactions on Industrial Informatics, 2019, 16(8): 5505-5516.

TUN Y K, PARK Y M, TRAN N H, et al . Energy-efficient resource management in UAV-assisted mobile edge computing[J ] . IEEE Communications Letters, 2020, 25(1): 249-253.

BURD T D, BRODERSEN R W. Processor design for portable systems[J]. Journal of VLSI Signal Processing Systems for Signal, Image and Video Technology, 1996, 13(2): 203-221.

ZHANG G, WU Q, CUI M, et al . Securing UAV communications via joint trajectory and power control[J ] . IEEE Transactions on Wireless Communications, 2019, 18(2): 1376-1389.

WU Q, ZHANG R. Intelligent reflecting surface enhanced wireless network via joint active and passive beamforming[J]. IEEE Transactions on Wireless Communications, 2019, 18(11): 5394-5409.

LI S, DUO B, DI RENZO M, et al . Robust secure UAV communications with the aid of reconfigurable intelligent surfaces[J ] . IEEE Transactions on Wireless Communications, 2021, 20(10): 6402-6417.

CHENG T, WANG B, CAO K, et al . IRS-assisted secure UAV communication system for multiuser with hardware impairments[J ] . IEEE Systems Journal, 2023, 17(3): 4946-4957.

WU Q, ZHANG R. Joint active and passive beamforming optimization for intelligent reflecting surface assisted SWIPT under QoS constraints[J]. IEEE Journal on Selected Areas in Communications, 2020, 38(8): 1735-1748.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research and Implementation of a Pulsed Laser Ranging Method Based on Digital Mixing

An Optimal Operation Strategy for Community Microgrid Alliances Considering Power Exchange under Multi-package Shared Energy Storage Model

A Resource Allocation Optimization Method for Multi-UAV Integrated Sensing, Computing, and Communication Towards Disaster Relief

Energy Management Strategy of Hybrid Locomotive Based on Road Condition Parameters

Bimodal Iterative Cross-attention Fusion Ensemble Framework

Related Author

No data

Related Institution

No data

AI问答

⁰