ID 原文 译文
51887 在目前5G系统多用户和高速率的需求下，为实现高效高吞吐的物理下行控制信道(PDCCH)控制资源分配以提高系统性能，提出一种基于奖惩机制的分配算法来进行有效的控制资源分配。 Under the multi-user and high-rate requirements of the current 5th-Generation system, in order to improve the performance of the system, an allocation algorithm based on the reward and punishment mechanism is proposed to achieve an efficient and high-throughput Physical Downlink Control Channel(PDCCH).
51888 该算法首先综合考虑公共空间用户和专用空间用户的资源分配， The algorithm first considers the resource allocation of common search space and user equipment-special search space users.
51889 在生成用户优先级列表时引入奖惩机制，以此改善小区边缘用户的阻塞性能和系统吞吐量，提高用户公平性， Then it introduces the reward and punishment mechanism when generating the user priority list to improve the blocking performance, system throughput of the cell edge users and the user fairness.
51890 然后简化无线网络临时标识(RNTI)表格分配来进行控制资源分配。 Then the Radio Network Temporary Identity(RNTI) table allocation is simplified to control the resource allocation.
51891 大规模多输入多输出（MIMO）系统中，随着天线数目的增加，传统的信号检测算法的检测性能大幅度下降，复杂度呈指数增长。 In massive Multiple-Input-Multiple-Output(MIMO) system, traditional detection algorithms suffer from more performance loss and higher complexity with increase in the number of antennas.
51892 为了解决天线过多带来的复杂度问题，文章基于邻近搜索思想提出一种似然判定准则，作为搜索树分支策略。 In order to solve the complexity problem, a likelihood criterion based on neighborhood search as a branch strategy is proposed.
51893 首先，构造二次规划模型，将其作为搜索树根节点， Firstly, the quadratic programing model is constructed, and the model is used to search tree as the root.
51894 然后，寻找目标函数值最小的节点作为分支节点， Then, the node with the smallest value of the objective function is found as the branching node.
51895 最后将判定准则运用于分支节点降低分支复杂度。 Finally, the likelihood criterion is applied to the branching nodes for reducing the complexity of the branch.
51896 在调制阶数为4的正交幅度调制，误比特率达到10-4时，文章提出的似然搜索树检测算法与传统搜索树算法相比，性能增益提升了约1.5 dB，复杂度降低了69.84%。 Specially, when the bit error rate achieves 10-4, the performance gain of the proposed algorithm is increased by 1. 5 dB and the complexity of the proposed algorithm is reduced by about 69. 84 percentage points compared with the traditional search tree algorithm in 16 quadrature amplitude modulation.