基于迭代加权虚力算法的电力通信调度速率自适应控制研究

Xiaomeng He, Yingshu Wang, Shu Yuan, Xiaobing Xiao, Yue Li
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引用次数: 0

摘要

为了扩大电力通信调度的范围,提高电力通信网络的信息传输率,研究了基于迭代加权虚力算法的电力通信调度速率自适应控制。采用迭代加权虚力算法对网格单元进行迭代加权,通过初始化阶段和迭代阶段不断改变节点的感知节点,扩大电力通信网络的覆盖范围;基于OFDM分配技术,建立了电力通信中功率最小和传输速率最大的数学模型,并提出了一种自适应优化数学模型的位算法。根据增益估计值,已知更多子信道的信噪比估计值,并将额外的比特自适应地分配给误码率较低的子信道,从而实现电力通信调度速率的自适应控制。实验表明:;该方法可以控制更宽的功率通信范围、更快的信息传输速率和更低的信噪比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on rate adaptive control of power communication dispatching based on iterative weighted virtual force algorithm
The adaptive control of power communication scheduling rate based on iterative weighted virtual force algorithm is studied to expand the scope of power communication scheduling and improve the information transmission rate of power communication network. The iterative weighted virtual force algorithm is used to weight the grid cells iteratively, and the perceived nodes of the nodes are constantly changed through the initialization stage and the iteration stage, so as to expand the coverage of the power communication network; Based on OFDM allocation technology, a mathematical model of power minimization and transmission rate maximization in power communication is constructed, and a bit algorithm is proposed to adaptively optimize the mathematical model. According to the gain estimation value, the estimated value of signal-to-noise ratio of more subchannels is known, and additional bits are adaptively allocated to subchannels with lower bit error rate, so as to realize adaptive control of power communication scheduling rate. The experiment shows that:; This method can control a wider power communication range, faster information transmission rate and lower signal-to-noise ratio.
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