Physical Layer Security Enabled Two-Stage AP Selection for Computation Offloading

Yu Yan, Tao Jing, Qinghe Gao, Yingzhen Wu, Xiaoxuan Wang
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Abstract

Physical layer security (PLS) has been widely employed in studies of computation offloading under traditional centralized networks. Distinguished from existing studies of only combating passive eavesdropper, we propose an efficient user-centric secure two-stage (UCSTS) access point (AP) selection method to combat simultaneously active and passive eaves-dropping, which is exploiting the distributed feature of cell-free massive multiple-input-multiple-output (MIMO) scenarios. Furthermore, we propose a novel secure computation task offloading (SCTO) model to guarantee the security of both uplink and downlink transmission. Aiming at reducing total energy consumption with high security, a minimum energy consumption optimization problem is solved by alternative optimization (AO) algorithm. Simulation results show that the proposed model can well combat Eve while reducing the total energy consumption, and the security of the proposed selection method is better than the AN-based scheme.
物理层安全启用两阶段AP选择计算卸载
物理层安全(PLS)被广泛应用于传统集中式网络下的计算卸载研究。与现有的只打击被动窃听的研究不同,我们提出了一种有效的以用户为中心的安全两阶段(UCSTS)接入点(AP)选择方法来同时打击主动和被动窃听,该方法利用无蜂窝的大规模多输入多输出(MIMO)场景的分布式特征。此外,我们提出了一种新的安全计算任务卸载(SCTO)模型,以保证上行和下行传输的安全性。以降低总能耗和高安全性为目标,采用备选优化算法求解最小能耗优化问题。仿真结果表明,所提模型在降低总能量消耗的同时能够很好地对抗Eve,且所提选择方法的安全性优于基于人工智能的方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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