| ID | 原文 | 译文 |
| 44346 | 大规模 MIMO 系统中的预编码技术是 5G 网络中的关键技术之一。 | In Massive MIMO systems for 5G networks, pre-coding technology is one of the key technologies. |
| 44347 | 针对大规模 MIMO 通信系统中旋转离散傅里叶变换（DFT）码本的用户端码字搜索问题，提出了一种低复杂度的码本搜索方法。 | Aiming at user side code book search method of the discrete Fourier transform (DFT) rotation code book, a low complexity search algorithm was proposed. |
| 44348 | 该方法根据旋转 DFT 码本相同列的弦距离最小，且弦距离越小的预编码向量其相关性越强的特点，将所有水平维码本和垂直维码本分别进行分组，得到信道增益最大的水平维最优码字和垂直维最优码字，以构成 3D 预编码码本。 | In this algorithm, all horizontal and vertical code books were grouped separately according to the characteristics that the pre-coding vectors with the same column of DFT rotation code books had the smallest chordal distance and the smaller chordal distance have the stronger correlation, and then the optimal horizontal and vertical code words with maximum channel gain were obtained to form 3D pre-coding code-books. |
| 44349 | 仿真结果表明所提出的搜索方法在保证了系统性能的同时显著降低了搜索复杂度，并且随着天线数目的增加优势更加明显。 | The simulation results indicate that the searching complexity of the proposed method is significantly reduced under conditions of insuring the system performance, moreover, this advantage becomes greater with the number of antennas increasing. |
| 44350 | 现有的 Cloudlet 选择策略大多只使用单个 Cloudlet 资源进行计算卸载，对于拥有较多可并行执行组件的移动数据流应用程序，性能提升有限。 | Most existing Cloudlet selection strategies only used the resources of one Cloudlet to compute offloading,which couldn't obtain the superior performance improvement for mobile data streaming application with many parallel components. |
| 44351 | 针对这一问题，提出一种基于化学反应优化算法的 Cloudlet 选择策略。 | To address this issue, a Cloudlet selection strategy based on chemical reaction optimization algorithm was proposed. |
| 44352 | 该策略以减少应用的完成时间和移动设备能耗为目的， | The strategy aims to reduce application’s completion time and energy consumption of mobile device. |
| 44353 | 在满足应用程序组件间依赖关系的前提下，充分利用多Cloudlet 的计算资源使移动数据流应用的并行组件同时执行， | When the dependencies among application’s components was satisfied, the strategy can take full advantage of the computing capability of multi-cloudlet to execute the parallel components of mobile data stream application simultaneously. |
| 44354 | 提升了应用执行效率的同时降低了移动设备能耗。 | Therefore the strategy can improve the execution efficiency and reduce the energy consumption of mobile device. |
| 44355 | 仿真实验表明，在多 Cloudlet 环境中应用程序的性能相较于 POCSS 策略平均提升了 18.2%。 | The simulation results reveal that the proposed strategy can achieves 18.3% on average performance improvement than POCSS strategy does in multi-Cloudlet environment. |