ID 原文 译文
52317 首先将原问题分解为功率分割和虚拟功率分配两个子问题; Firstly, the original problem is decomposed into two sub-problems: power splitting and virtual power allocation.
52318 然后在高层功率分割中引入拉格朗日函数，求解出一种基于均衡策略的最佳功率分割算法，在底层利用虚拟功率完成进一步的功率分配。 Secondly, an optimal power splitting algorithm based on equilibrium strategy is obtained by introducing the Lagrangian function at the upper layer, and further power allocation is achieved by using the virtual power at the bottom layer.
52319 由于功率分割系数采用了最大化信干漏比 (SLNR) 的特征矢量形式，从而实现了信号增强与干扰减少之间的均衡。 Since the power splitting coefficient takes the form of eigenvector which maximizing Signal to Leakage plus Noise Ratio (SLNR) , a balanced effect on signal enhancement and interference reduction is achieved.
52320 仿真结果表明，该算法在性能上优于传统的功率分配算法，有效减少了干扰，提高了系统的和速率。 Simulation results show that the proposed algorithm is superior to conventional power allocation algorithms in performance, which can effectively reduce the interference and increase the sum rate of the system.
52321 非正交多址接入 (NOMA) 是5G无线网络的基本支持技术，可满足大规模连接和高吞吐量的异构需求，能增加可接入的用户数。 Non-Orthogonal Multiple Access (NOMA) is a basic support technology for the 5 G wireless networks. It can meet the heterogeneous requirements of large-scale connectivity and high throughput with increasing number of access subscriber.
52322 NOMA的关键思想是同一资源块为多个用户提供服务，系统可容纳的用户数增加， The key idea of NOMA is that the same resource block provides services for multiple users. The supported number of users can be increased.
52323 但对系统容量的提升有限， However, the upgrade of system capacity is limited.
52324 针对此问题，文章提出在NOMA的基础上，将其与大规模多输入多输出 (MIMO) 天线结合，提高系统的容量， To solve this issue, the paper combines NOMA technology with massive Multiple-input Multiple-output (MIMO) antenna to improve the capacity of the system.
52325 同时将下行多用户按照信道差异进行用户匹配，两两分为一簇， At the same time, the downlink multi-users perform user matching according to channel differences, and the two are divided into one cluster.
52326 簇与簇之间的干扰采用块对角化 (BD) 算法进行消除， Block Diagonalization (BD) algorithm is used to eliminate the interference between the clusters.