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Achievable-SIR-based predictive closed-loop power control in a CDMAmobile system

机译:CDMAmobile系统中基于SIR的可实现的预测闭环功率控制

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摘要

A power control algorithm with two prediction models based on annachievable signal-to-interference power ratio (SIR) has been proposednunder a multipath Rayleigh fading environment in a code-divisionnmultiple-access (CDMA) mobile system. An achievable SIR is defined asnthe maximum-minimum SIR among all users at a particular time step. Thencorresponding mobile transmission powers are denoted as the "optimumntransmission powers." In the individual power predictor (IPP) model, anlinear transversal filter is assigned to each user. The output of thenIPP, which is a linear combination of the optimum transmission powers ofnthe mobile during the current and previous power measurement periods,npredicts the optimum transmission power of the mobile in the next timenstep. In the global power predictor (GPP) model, a single predictor,nconstructed by a linear neural network, is used to predict the optimumntransmission powers of all mobiles in the next time step. In bothnpredictor models, the weights of the predictors are updated by using thenrecursive least squares algorithm. To further improve the performance, anreduced power-measurement period has been studied. Simulation resultsnshow that the proposed power control algorithm can achieve a lowernoutage probability and a smaller dynamic range of transmission powerncompared with a conventional power control scheme
机译:在码分多址(CDMA)移动系统中的多径瑞利衰落环境下,已经提出了一种基于可解析信噪比(SIR)的具有两个预测模型的功率控制算法。可达到的SIR定义为特定时间步长下所有用户之间的最大最小SIR。然后,将相应的移动传输功率表示为“最佳传输功率”。在单个功率预测器(IPP)模型中,将非线性横向滤波器分配给每个用户。 thenIPP的输出是移动台在当前和之前的功率测量周期内最佳发射功率的线性组合,它预测下一时间移动台的最佳发射功率。在全局功率预测器(GPP)模型中,由线性神经网络构造的单个预测器n用于预测下一个时间步中所有移动台的最优n发射功率。在两个预测器模型中,都使用递归最小二乘算法更新预测器的权重。为了进一步提高性能,已经研究了缩短的功率测量周期。仿真结果表明,与传统的功率控制方案相比,所提出的功率控制算法可以降低断电概率,减小传输功率的动态范围。

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