An Iterative Scheme for Computing Combination Weights in Diffusion Wireless Networks

Reza Abdolee; Vida Vakilian

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An Iterative Scheme for Computing Combination Weights in Diffusion Wireless Networks

机译：扩散无线网络中计算组合权重的迭代方案

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摘要

In this letter, we propose an iterative scheme for computing combination matrices of adaptive networks used in diffusion of data among nodes. In particular, we study the performance of diffusion least-mean-squares algorithms over wireless networks for different choices of left-stochastic combination matrices. We formulate a convex optimization problem using an upper bound of the mean-squares deviation of the network and obtain a closed-form expression to find these matrices. We also propose an adaptive scheme to obtain the optimal weights that runs in real-time along with the estimation process over the network. Numerical experiments support the theoretical findings of this letter.

机译：在这封信中，我们提出了一种迭代方案，用于计算用于节点间数据扩散的自适应网络的组合矩阵。特别是，我们研究了左随机组合矩阵的不同选择对无线网络的扩散最小均方算法的性能。我们使用网络均方差的上限来制定凸优化问题，并获得一个封闭形式的表达式来找到这些矩阵。我们还提出了一种自适应方案，以获取随网络估算过程一起实时运行的最佳权重。数值实验证明了这封信的理论发现。

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来源
《Wireless Communications Letters, IEEE》 |2017年第4期|510-513|共4页
作者
Reza Abdolee; Vida Vakilian;
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作者单位

Department of Electrical and Computer Engineering and Computer Science, California State University, Bakersfield, CA, USA;

Department of Electrical and Computer Engineering and Computer Science, California State University, Bakersfield, CA, USA;

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原文格式 PDF
正文语种 eng
中图分类
关键词
Noise measurement; Wireless networks; Fading channels; Optimization; Adaptive systems; Upper bound; Estimation;

机译：噪声测量;无线网络;衰减通道;优化;自适应系统;上限;估计;

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An Iterative Scheme for Computing Combination Weights in Diffusion Wireless Networks

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