Simulation results show that MNN power controller achieves better control performance and system capacity than fixed-step controller due to the inherent ability of MNN to identify the fas…
仿真结果表明，由于神经网络能够较好地识别反向链路的时变特性，MNN功率控制方法比传统的固定步长功率控制方法取得了更好的控制性能和系统容量。
Simulation results show that the algorithm has better adaptation for the change of power and can lower average outage percentage effectively and faster convergence speed than the fixed-step algorithm.
通过自适应步长功率控制算法与固定步长算法仿真的比较，得出这种算法通过动态改变步长可以更加适应功率的变化、有效降低中断概率、收敛速度大大加快的结论。
Also, until the file ownership is fixed in a later step, the users temporarily loses access to their files.
还有，在下一步修复文件所有权之前，用户会暂时无法访问文件。
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