ID 原文 译文
24915 针对现有基于矩阵分解的混合预编码算法信道容量有损和算法复杂度高的问题，本文提出了一种基于两阶段的低复杂度混合预编码算法 。该算法分为获取最优全数字预编码器和求解混合预编码器两部分。 Aiming at the problems of loss channel capacity and high algorithm complexity of the existing matrix decomposition-based hybrid precoding algorithms, a two-stage based low complexity hybrid precoding algorithm is proposed. The algorithm is divided into two parts: obtaining the optimal full-digital precoder and the hybrid precoder.
24916 首先，本文联合奇异值分解（Singular Value Decomposition, SVD）与注水算法以容量无损的要求设计最优全数字预编码矩阵。 Firstly, this paper combines singular value decomposition (SVD) and water filling algorithm to design an optimal full-digital pre-coder with the requirement of lossless capacity.
24917 其次，为了降低搜索超完备矩阵列的复杂度，提出两阶段混合预编码（Two⁃Stage Hybrid Precoding, TS⁃HP）算法求解混合预编码矩阵。 Then, to reduce the complexity of searching columns of the overcomplete matrix, the two-stage hybrid precoding (TS-HP) algorithm is proposed to obtain the hybrid precoding matrix.
24918 第一阶段，根据天线阵列响应矩阵的相关性获取模拟预编码矩阵备选集； In the first stage, the candidate set of the analog precoding matrix is obtained according to the antenna array response matrix correlation.
24919 第二阶段，利用贪婪搜索对备选集进行搜索构建混合预编码矩阵。 In the second stage, greedy search is used to search the candidate set to construct a hybrid precoding matrix.
24920 仿真结果表明，所提算法能够有效改善系统性能，降低复杂度。 Simulation results show the proposed algorithm can effectively inprove the system performance and reduce the algorithm complexity.
24921 本文提出了一种基于对数似然比（LLR）检测算法的广义零填充三模正交频分复用（OFDM）索引调制（GZTM⁃OFDM⁃IM）系统，目的在于提高传统 ZTM⁃OFDM⁃IM 系统的频谱效率（SE）。在提出的系统发送端，更多的 OFDM子载波激活样式有效提高了系统的 SE，并且一种新的双模信号星座图被采用。 In this paper, we propose a generalization of zero-padded tri-mode orthogonal frequency division multi-plexing with index modulation (GZTM-OFDM-IM) system based on the log-likelihood ratio (LLR) detection. In the proposed system, a dual-mode signal constellation is designed and applied, and a three-stage detector based on LLR algorithm is applied for the receiver. Due to more index activation patterns produced in the transmitter, spectral efficiency (SE) of the proposed system is efficiently improved compared with the traditional ZTM-OFDM-IM system.
24922 仿真结果表明：利用设计的低复杂度检测器，GZTM⁃OFDM⁃IM 在实现了高 SE 的同时，系统的误比特率（BER）性能在高信噪比（SNR）范围与传统 ZTM⁃OFDM⁃IM 相比没有降低，且 BER 性能与理论差错性能上边界非常接近。 Simulation results show that the GTM-OFDM-IM system has higher SE than the corresponding ZTM-OFDM-IM, and maintains the bit error rate (BER) performance depending on the proposed detection algorithm with low computational complexity. And theoretical BER upper bound of the proposed system is fit to the simulation results at the high signal-to-noise ratio (SNR) region.
24923 纳米生物传感器以及太赫兹技术的发展能够满足肺部医学数据高速可靠地传输到远程医疗机构的要求，因此体内太赫兹纳米传感器网络在远程肺部健康监测方面有着巨大的应用前景。 The development of nano-biosensors and terahertz technology can meet the requirements of high-speed and reliable transmission of lung medical data to telemedicine institutions． Therefore, intra-body terahertz nanosensor network has great application prospects in remote lung health monitoring．
24924 考虑到纳米节点能量有限且肺部数据传输对时延要求高的问题，提出了一种低时延低能耗 (Low Delay Low Energy consumption，LDLE)的拓扑模型。 Considering the limited energy of the nanonodes and the strict latency requirements for data transmission, a low-delay low-energy consumption (LDLE) topology model is proposed．