ID 原文 译文
22195 该文提出阵列配置加速比模型，证明低压缩率不一定能提高传输效率，并找到影响信息传输效率的因子，即解压模块吞吐率和数据块压缩率。 In view of this problem, an array configuration speedup model is proposed in this paper. It is proved that low compression ratio may not improve the transmission efficiency and the factors, decompression module throughput and data block compression rate which affect the efficiency of information transmission, are found.
22196 将影响因子与配置信息特征结合，设计了一种新的无损压缩算法，并硬件实现了解压模块，吞吐率可达到 16.1 Gbps。 Combined the influencing factors with the configuration information, a new lossless compression method is designed and the decompression hardware circuit is implemented, whose throughput can reach 16.1 Gbps.
22197 采用 AES, A5-1 和 SM4 对无损压缩算法进行测试，然后与主流无损压缩算法 LZW, Huffman, LPAQ1 和 Arithmetic对比。 The lossless compression algorithm is tested using AES, A5-1 and SM4. Compared with the mainstream lossless compression algorithms LZW, Huffman, LPAQ1 and Arithmetic, the results show that the overall compression ratio is equivalent.
22198 结果表明，整体压缩率相当，但该文压缩算法产生的数据块压缩率经过优化，不仅能满足加速需求，且具有高吞吐率的解压性能； However, the compression ratio of data block generated by the compression algorithm is optimized, which can not only meet the demand of acceleration, but also possesses high throughput decompression performance.
22199 该文无损压缩算法获得的配置加速比，比硬件吞吐率理想情况下的 LPAQl, Arithmetic, Huffman, LZW 算法分别高 8%, 9%, 10%, 22%左右。 The configuration speedup ratio obtained by lossless compression algorithm is about 8%, 9%, 10% and 22% higher than LPAQl, Arithmetic, Huffman, and LZW with ideal hardware throughput.
22200 为了提高无线携能通信(SWIPT)的效率，在基站采用 3 维(3D)定向天线，通过动态调整天线下倾角，来开发垂直维度，从而增强 SWIPT 中能量和信息的传输效率。 In order to improve the Simultaneous Wireless Information and Power Transfer (SWIPT) efficiency, the Base Station (BS) employs the Three-Dimensional (3D) directional antennas and exploits the vertical domain by dynamically adjusting the antenna tilt. So the efficiency of energy and information transfer can be increased.
22201 该文研究单小区多输入多输出(MIMO)SWIPT 系统，基站和用户分别使用迫零(ZF)预编码和功率划分(PS)技术。 The single-cell Multiple-Input Multiple-Output (MIMO) SWIPT system is studied where the BS applies Zero-Forcing (ZF) precoding and users use the Power Splitting (PS) technique.
22202 构建以最小化发送功率为目标的优化问题，在信噪比(SNR)和获取功率的约束下，联合优化了天线下倾角，PS 比和分配的功率。 The optimization problem is formulated to minimize the transmit power subject to SNR and harvested power targets. And the antenna tilt, PS ratios and the allocated power of each user are jointly optimized.
22203 最佳 PS 比和最优功率分配以闭合表达式给出。 The optimal PS ratios and the optimal power allocation are given in closed-form expressions.
22204 仿真表明，所得到的优化解的性能优于具有可调下倾角的常规 MIMO 系统和不考虑垂直维度的 2 维(2D)方案。 Simulations show that the proposal outperforms conventional MIMO systems with an adjustable tilt and the Two-Dimensional (2D) scheme without considering the vertical domain.