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 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。
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