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基于连续干扰消除的矿用机车无线网络策略

The Mine Locomotive Wireless Network Strategy Based on Successive Interference Cancellation.

作者信息

Wu Liaoyuan, Han Jianghong, Wei Xing, Shi Lei, Ding Xu

机构信息

School of Computer and Information, Hefei University of Technology, Hefei 230009, China.

出版信息

Sensors (Basel). 2015 Nov 9;15(11):28257-70. doi: 10.3390/s151128257.

DOI:10.3390/s151128257
PMID:26569240
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4701279/
Abstract

We consider a wireless network strategy based on successive interference cancellation (SIC) for mine locomotives. We firstly build the original mathematical model for the strategy which is a non-convex model. Then, we examine this model intensively, and figure out that there are certain regulations embedded in it. Based on these findings, we are able to reformulate the model into a new form and design a simple algorithm which can assign each locomotive with a proper transmitting scheme during the whole schedule procedure. Simulation results show that the outcomes obtained through this algorithm are improved by around 50% compared with those that do not apply the SIC technique.

摘要

我们考虑一种基于连续干扰消除(SIC)的矿用机车无线网络策略。我们首先为该策略建立原始数学模型,它是一个非凸模型。然后,我们深入研究这个模型,并发现其中蕴含着一定规律。基于这些发现,我们能够将模型重新表述为一种新形式,并设计一种简单算法,该算法可以在整个调度过程中为每台机车分配适当的传输方案。仿真结果表明,与不应用SIC技术的情况相比,通过该算法获得的结果提高了约50%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/a77f64d6b6b4/sensors-15-28257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/5a85c19bd191/sensors-15-28257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/e440769ff9bd/sensors-15-28257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/30795c9db1c0/sensors-15-28257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/3e92f6398daf/sensors-15-28257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/b3223e67010b/sensors-15-28257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/d804bef16827/sensors-15-28257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/a77f64d6b6b4/sensors-15-28257-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/5a85c19bd191/sensors-15-28257-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/e440769ff9bd/sensors-15-28257-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/30795c9db1c0/sensors-15-28257-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/3e92f6398daf/sensors-15-28257-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/b3223e67010b/sensors-15-28257-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/d804bef16827/sensors-15-28257-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f062/4701279/a77f64d6b6b4/sensors-15-28257-g007.jpg

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引用本文的文献

1
Full-Duplex Multi-Hop Wireless Networks Optimization with Successive Interference Cancellation.全双工多跳无线网络优化中的连续干扰消除。
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本文引用的文献

1
Optimal base station placement for wireless sensor networks with successive interference cancellation.具有连续干扰消除功能的无线传感器网络的最优基站布局
Sensors (Basel). 2015 Jan 14;15(1):1676-90. doi: 10.3390/s150101676.