ID 原文 译文
18825 移动边缘计算(MEC)中计算卸载决策可能暴露用户特征，导致用户被锁定。 The decision on computation offloading to Mobile Edge Computing (MEC) may expose user’s characteristics and cause the user to be locked.
18826 针对此问题，该文提出一种基于Lyapunov优化的隐私感知计算卸载方法。 A privacy-aware computation offloading method based onLyapunov optimization is proposed in this paper.
18827 首先，该方法定义卸载任务中的隐私量，并引入隐私限制使各MEC节点上卸载任务的累积隐私量尽可能小； Firstly, the privacy of task is defined, and privacy restrictionsare introduced to minimize the cumulative privacy of each MEC node;
18828 然后，提出假任务机制权衡终端能耗和隐私保护的关系，当系统因隐私限制无法正常执行计算卸载时，在MEC节点生成虚假的卸载任务以降低累积隐私量； Then, the fake task mechanism is proposed to balance the terminal energy consumption and privacy protection, reducing the cumulative privacy of MEC node by generating a fake task non-feature task when offloading is not performed due to privacy restrictions;
18829 最后，建立隐私感知计算卸载模型，并基于Lyapunov优化原理求解。 Finally, the privacy-aware computing offloading decision is modeled and solved based on theLyapunov optimization.
18830 仿真结果表明，基于Lyapunov优化的隐私感知卸载算法(LPOA)能使用户的累积隐私量稳定在0附近，且总卸载频率与不考虑隐私的决策一致，有效保护了用户隐私，同时保持了较低的平均能耗。 Simulation results validate that the Lyapunov optimization-based Privacy-awareOffloading Algorithm (LPOA) can stabilize user’s privacy near zero, and the total offloading frequency is consistent with the decision that don’t consider privacy, effectively protecting user’s privacy while maintaining a low average energy consumption.
18831 为根本消除欠采样宽频谱分析中的伪峰副效应，该文提出基于并行全相位点通滤波的高性能互素谱分析方法。 In order to completely remove the spurious-peak side effect in the undersampling based wide-bandspectral analysis, this paper proposes a high-performance co-prime spectral analysis method based on paralleledall-phase point-pass filtering.
18832 通过剖析经典互素谱分析的机理，指出产生伪峰效应的根源在于上、下通道的多相滤波支路之间存在多余的重叠边界频带。 On basis of a deep analysis on the mechanism of the classical co-prime spectralanalysis, it is discovered that this spurious-peak side effect arises from those redudant overlapping boundary-bands related to distinct polyphase filtering branches between the up data path and the down data path.
18833 故借助全相位点通滤波器组来取代经典互素谱的原型滤波器，并且推导出基于并行点通滤波的互素谱分析流程。 Therefore, through replacing the prototype filters in the classical co-prime spectral analysis by the all-phasepoint-pass filtering banks, a novel co-prime analysis dataflow is derived based on paralleled all-phase point-passfiltering.
18834 理论分析和仿真实验均表明，新的方法显著改善谱分析性能：不仅从根本上消除了伪峰产生的可能，而且相比于经典互素谱分析还大大提升了谱分辨率，从而具有较高的密集谱成分辨识性能。 Both theoretic analysis and numerical simulation show that the proposed spectral analysis methodachieves remarkable performance improvement: it can not only completely remove the spurious-peak side effect,but also obtain a much higher spectral resolution than the classical co-prime analysis, thereby possessinganother merit of distinguishing dense spectral components.