ID 原文 译文
24825 实际收发设备的非理想硬件(RHI, Residual Hardware Impairment)特性会对协作非正交多址接入(NOMA,Non-Orthogonal Multiple Access)系统性能产生重要影响。 Residual hardware impairment (RHI) characteristics exist in actual transceiver which will have an important impact on the cooperative non-orthogonal multiple access (NOMA) system performance.
24826 因此，本文提出了基于 RHI 的下行链路单窃听多中继协作NOMA 系统模型，推导了联合考虑合法链路和窃听链路使目标信噪比最大化(M-LaE-SNR, Maximized SNR for Legiti‐mate and Eavesdropping link)中继传输方案下的安全中断概率闭合表达式和渐近表达式。 In this paper, downlink single eavesdropper and multi relay cooperative non-orthogonal multiple access system with RHI is proposed, and the closed expression and asymptotic expression of secrecy outage probability performance is derived under the relay transmission scheme by maximizing SNR for joint legitimate and eavesdropping link (M-LaE-SNR)；
24827 分析和仿真结果表明，所提M⁃LaE⁃SNR方案相比其他方案可有效提高用户的安全中断性能，且中继数越多所提方案性能优势越明显； The analytical and simulation results show that the secrecy outage performance of RHI-D-E-MR-NOMA system using M-LaE-SNR scheme is better than the other schemes, and the more the number of relays, and the performance advantage of the proposed scheme is more obvious with more relay numbers;
24828 同时 RHI使得系统安全传输性能降低，且 RHI 对性能的影响程度主要与主链路信噪比以及协作中继个数有关； Meanwhile, RHI can reduce the secrecy transmission performance of the system, and the influence of RHI on the performance is mainly related to the signal-to-noise ratio (SNR) of the main link and the number of cooperative relays;
24829 且不同节点处的RHI对系统安全性能造成的影响程度不同。 And RHI at different nodes have different influences on system secure performance.
24830 研究结果还证明了用户的安全分集阶数等于中继数量K。 It is also proved that the order of user's secrecy diversity order is equal to the number of relays K.
24831 属性约简是粗糙集中的一个重要研究方向。 Attribute reduction is an important research direction in rough set.
24832 本文从 8 个方面对基于粗糙集的属性约简算法进行归纳，即：不完备决策信息表，不相容决策信息表，连续型属性决策信息表，动态决策信息表，有序型属性决策信息表，基于粗糙扩展模型的属性约简，基于属性重要度的属性约简，结合智能优化算法的属性约简，这对进一步深入研究粗糙集的属性约简算法具有积极意义。 This paper summarizes attribute reduction algorithms based on rough sets from eight aspects, including incomplete decision information tables, incompatible decision information tables, continuous attribute decision information tables, dynamic decision information table, ordered data decision information table, attribute reduction algorithm based on rough extension model, attribute reduction algorithm based on attribute importance degree and attribute reduction algorithm based on intelligent optimization algorithm. Through summarizing eight aspects of attribute reduction algorithms based on rough set, positive significance is shown for further research on attribute reduction algorithm of rough set.
24833 D2D 通信是 5G/B5G 网络的关键技术之一，同时小小区的中心化部署形成了以父点为中心的簇。 D2D communication is one of the key technologies of 5G/B5G networks. Meanwhile, in 5G/B5G network, the centralized deployment of small base stations (BSs) makes user equipment (UE) located inside or outside the cluster.
24834 因此，文章构建了一个基于泊松点和泊松簇过程的网络模型，提出了一种基于簇的用户设备(User Equipment, UE)分类方案，并设计了联合正交与共享的频谱资源分配方案。 This paper constructs a network model based on Poisson point and Poisson cluster processes, and proposes a cluster-based UEs classification scheme as well as a spectrum resource allocation scheme by joining orthogonal and sharing methods.