ID 原文 译文
20475 最终结果表明小小区回程传输覆盖概率尽管随着功率共享系数单调变化，但与移动用户的功率的关系并不满足单调性； Finally, the presented simulations and numerical results show that the coverage probability of small cell backhaul is changing monotonously with the power sharing efficient, but the monotony is not held for the power of mobile users.
20476 当满足一定功率分配时，与没有采用NOMA的SBS系统相比，NOMA小小区网络可获得吞吐量增益。 Compared with the systems without NOMA, it is found that with reasonable power allocation factor, the NOMA-deployed ones achieve the evident throughput gain.
20477 为实现电磁计算的安全可靠和自主可控，该文基于“天河二号”国产众核超级计算机平台，开展大规模并行矩量法(MoM)的开发工作。 In order to realize safety, reliability and self-control of electromagnetic computing, the large-scale parallel MoM is studied based on domestically-made many-core super computer platform named “Tianhe-2”.
20478 为减轻大规模并行计算时计算机集群的通信压力以及加速矩量法积分方程求解，通过分析矩量法电场积分方程离散生成的矩阵具有对角占优特性，提出一种新型LU分解算法，即对角块矩阵选主元LU分解(BDPLU)算法， Anew LU decomposition algorithm named Block Diagonal matrix Pivoting LU decomposition (BDPLU)algorithm, is proposed by analyzing the diagonally dominant characteristics of the matrix generated throughdispersing electric field integral equation of MoM, for the purpose of communication pressure reduction tocomputer cluster and solution acceleration to MoM integral equation during large-scale parallel computation.
20479 该算法减少了panel列分解的计算量，更重要的是，完全消除了选主元过程的MPI通信开销。 The BDPLU algorithm reduces the amount of calculation in the process of panel factorization. More importantly, the algorithm completely eliminates MPI communication when pivoting.
20480 利用BDPLU算法，并行矩量法突破了6×105 CPU核并行规模，这是目前在国产超级计算平台上实现的最大规模的并行矩量法计算，其矩阵求解并行效率可达51.95%。 Using BDPLU algorithm, the maximum number of CPU cores break through 6×105 CPU cores, which is the largest scale of parallel MoM computation in domestically-made and many-core supercomputing platform at present, and the parallel efficiency of solving matrix can reach 51.95%.
20481 数值结果表明，并行矩量法可准确高效地在国产超级计算平台上解决大规模电磁问题。 Numerical results show that parallel MoM can accurately and efficiently solve large-scale electromagnetic field problems on domestic supercomputing platform.
20482 请求接受率和节能是虚拟网映射过程中两个至关重要的指标，然而当前虚拟网映射问题的研究仅考虑单一指标，忽略了两者之间的关联和制约，导致虚拟网映射整体性能下降。 Request acceptance rate and energy saving are the two most important indicators in the virtual network mapping process. However, the current virtual network embedding problem considers only a single index, ignoring the correlation and constraints between the two, resulting in a decrease in the overall performance of the virtual network embedding.
20483 该文提出一种基于纳什议价的虚拟网多目标映射算法(MOVNE-NB)： This paper proposes a Multi-Objective Virtual NetworkEmbedding algorithm based on Nash Bargaining (MOVNE-NB).
20484 利用博弈论谈判技术，在纳什议价的框架下协商虚拟网映射的合理解； Firstly negotiating the virtual networkembedding problem in the framework of Nash bargaining by using game theory technology.