ID 原文 译文
51617 在大规模机器类通信(mMTC)上行免调度非正交多址接入(NOMA)系统中,活跃用户通常以高概率在几个连续时隙传输数据。 In massive Machine Type Communications(mMTC) uplink grand-free Non Orthogonal Multiple Access(NOMA) systems, active users usually transmit data in consecutive time slots with high probability.
51618 为了充分利用相邻时隙之间的时间相关性,文章提出了一种改进的动态自适应(IDA)多用户检测算法, In order to make full use of the time correlation between adjacent time slots, this paper proposes an Improved Dynamic Adaptive(IDA) multi-user detection algorithm,
51619 将压缩感知的重构思想结合时间相关性实现活跃用户和数据的联合检测。 which combines the reconstruction idea of the existing compressed sensing algorithm with time correlation to achieve joint detection of active users and data.
51620 在估计支撑集过程中加入自适应阈值辅助策略选择原子, In the process of estimating the support set, an adaptive threshold-assisted strategy is added to select atoms,
51621 利用幂函数变步长方法提高稀疏度估计的准确性,并优化迭代终止条件。 and the power function variable step size method is used to improve the accuracy of the sparsity estimation and optimize the iteration termination conditions.
51622 仿真结果表明,与贪婪重构算法和基于动态压缩感知(DCS)的多用户检测算法相比,在缺乏先验稀疏度条件下,IDA多用户检测算法表现出更优的信号检测性能。 The simulation results show that compared with the greedy reconstruction algorithm and the Dynamic Compressed Sensing(DCS) algorithm, the IDA algorithm has better signal detection performance in the absence of a priori sparseness.
51623 针对毫米波和传统蜂窝频段场景下频谱效率和传输可靠性较低的问题,文章提出了一种三维散射簇多天线信道模型以分析大规模多输入多输出(MIMO)系统性能。 In order to improve the spectral efficiency of the system and increase the transmission reliability, it is necessary to establish a spatial fading channel model to analyze the performance of massive Multiple-Input and Multiple-Output(MIMO) systems.
51624 文章假设仰角和方位角分别遵循拉普拉斯和Von-Mises分布, Assuming that the elevation and azimuth angles follow the Laplacian distribution and the Von-Mises distribution,
51625 推导出均匀平面阵列天线各单元之间空间相关系数的解析表达式, the analytical expressions of the spatial correlation coefficients between the elements of the uniform planar array antenna are derived.
51626 最后建立MIMO多天线系统模型并分析其系统性能。 The MIMO multi-antenna system model is established to analyze the system performance.