Enhancing security offloading performance in NOMA heterogeneous MEC networks using access point selection and meta-heuristic algorithm

IF 4.4 2区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Truong Van Truong , Anand Nayyar
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引用次数: 0

Abstract

The research delves into the intricate domain of security offloading within the context of non-orthogonal multiple access (NOMA) heterogeneous mobile edge computing (het-MEC) networks operating over Rayleigh fading channels. The investigation centers on a system model comprising a single antenna-equipped edge user, denoted as U, which strategically offloads computational tasks to two distinct heterogeneous wireless access points (APs): the far AP (AP1) and the near one (AP2), employing NOMA techniques. Notably, the research accounts for a passive eavesdropper (E) intending to intercept the UAP2 transmission. A four-phase protocol is proposed to ensure the security offloading process, namely SAPS, which leverages wireless access point selection (APS) and physical layer security (PLS) techniques. The focus extends to derive a closed-form expression for a novel critical system performance metric: the secrecy successful computation probability (SSCP). Furthermore, an algorithm based on Ant Colony Optimization (ACO) within the continuous domain is introduced, which aims to enhance the SSCP by intelligently determining system parameters. The impact of critical factors such as transmit power, power allocation coefficient, bandwidth, CPU frequency, and task division ratio under the SAPS scheme is explored and compared to the conventional approach using pure NOMA. Remarkably, the algorithm in the proposed scheme demonstrates up to a 3% performance improvement. The validity and accuracy of the study findings are verified through Monte-Carlo simulations. The work contributes significantly to advancing secure offloading strategies in NOMA-based MEC networks, offering valuable insights for practical deployment and optimization.

利用接入点选择和元启发式算法提高 NOMA 异构 MEC 网络的安全卸载性能
该研究深入探讨了在瑞利衰减信道上运行的非正交多址(NOMA)异构移动边缘计算(het-MEC)网络中安全卸载这一错综复杂的领域。研究以一个系统模型为中心,该模型包括一个配备天线的边缘用户(以 U 表示),该用户采用 NOMA 技术,有策略地将计算任务卸载到两个不同的异构无线接入点(AP):远端接入点(AP1)和近端接入点(AP2)。值得注意的是,这项研究考虑到了打算拦截 U-AP2 传输的被动窃听者 (E)。为确保安全卸载过程,提出了一个四阶段协议,即利用无线接入点选择(APS)和物理层安全(PLS)技术的 SAPS。研究重点扩展到推导出一种新型关键系统性能指标的闭式表达式:保密成功计算概率(SSCP)。此外,还介绍了一种基于连续域内蚁群优化(ACO)的算法,旨在通过智能确定系统参数来提高 SSCP。在 SAPS 方案下,探讨了发射功率、功率分配系数、带宽、CPU 频率和任务分工比等关键因素的影响,并与使用纯 NOMA 的传统方法进行了比较。值得注意的是,所提方案中的算法最多可提高 3% 的性能。研究结果的有效性和准确性通过蒙特卡洛模拟得到了验证。该研究成果为推进基于 NOMA 的 MEC 网络中的安全卸载策略做出了重大贡献,为实际部署和优化提供了宝贵的见解。
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来源期刊
Computer Networks
Computer Networks 工程技术-电信学
CiteScore
10.80
自引率
3.60%
发文量
434
审稿时长
8.6 months
期刊介绍: Computer Networks is an international, archival journal providing a publication vehicle for complete coverage of all topics of interest to those involved in the computer communications networking area. The audience includes researchers, managers and operators of networks as well as designers and implementors. The Editorial Board will consider any material for publication that is of interest to those groups.
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