| 1. | Used to measure native file system throughput
用于测量本机文件系统吞吐量 |
| 2. | Finally , we study the simulating results and the influences of various parameters to the system
分析了采用s - cdma调制方式中一个和多个基站对系统吞吐量的影响。 |
| 3. | We build up the markov model for the mac protocol and then derive the formula of the system throughput
对mac层协议建立离散时间的马尔可夫链模型，推导了系统吞吐量表示式。 |
| 4. | It is proved by analysis in theory and system level simulation that the adaptive congestion control algorithm can enlarge system throughput while controlling system load
经过理论分析和系统级仿真，验证了自适应拥塞控制算法在控制系统负载的条件下，提高了系统吞吐量。 |
| 5. | The simulation results show that the throughput of proposed method converges to that of eigen - beamforming when the number of users in a cell is large
仿真结果表明，当小区内的用户数足够多时，所提出的方案获得的系统吞吐量将收敛于在发射端使用特徵波束成形矩阵的吞吐量。 |
| 6. | The industry will be able to quickly deliver multi - vendor , fast i / o subsystems , while customers will enjoy mainframe - class system throughput in standards - based platforms
工业界将能够快速地交付多厂商的快速i / o子系统，同时客户也能在基于标准的平台上享受大型机级别的系统吞吐量。 |
| 7. | The analysis of physical layer performance is mainly about harq and amc . first discuss the implemention of physical layer . then in front to simulation results , we can find their advantages in cell throughput and ber or fer
本文的物理层性能分析围绕harq和amc技术展开,在分析物理层实现方案后给出仿真结果,分析harq和amc技术分别对系统吞吐量的贡献,以及对误码率和误帧率的优化,发现他们的优势。 |
| 8. | At the same time , analysis of effects of gaussian distributed and uniform distributed feedback error of the channel fading behavior on throughput performance of adaptive mqam reveals that the obvious throughput loss shall be observed as far as the error exceeds certain limit
同时，高斯分布和均匀分布的信道衰落信息反馈误差对自适应mqam吞吐量性能影响的研究表明，当误差超过一定程度时，自适应系统吞吐量性能明显下降。 |
| 9. | Through the adjustment and optimization of the parameter , the proposed algorithm can guarantee the qos of the real - time service and maximize the system capacity at the same time . in order to demonstrate the performance of the proposed algorithm , we compare our algorithm with m - lwdf
通过参数的调整与优化,该算法可以保证实时业务的qos要求,并且可以在减少实时业务分组时延和增大非实时业务吞吐量之间寻找最佳的平衡点。即尽可能的优化系统吞吐量。 |
| 10. | Combined with the adaptive modulation and coding technology , this algorithm reallocates the residual power by effectively utilizing the discrete modulation orders according to the different priorities of sub - channels under the limitation of quality of service over the block fading channel
在满足服务质量要求的前提下充分利用星座图尺寸的离散性，将残余功率按照各子信道的不同优先级进行二次分配，并结合自适应调制编码技术改善低信噪比时的系统吞吐量。 |
