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A Segmented Packet Collision Model for Smart Utility Networks Under WLAN Interferences

机译:WLAN干扰下的智能公用网分段分组冲突模型

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摘要

Smart metering utility network (SUN) is an emerging wireless technology for achieving intelligent control and information transfer in smart grid applications. However, the operation of SUNs on unlicensed bands is very sensitive to external interferences generated from other networks working on the same spectrum bands, such as wireless local area networks (WLANs). This paper aims to analyze packet error rate (PER) performance of a victim SUN receiver under the interferences of one or more WLAN transmitting nodes. To deal with a scenario leveraged by multiple random variables, such as offset between desired SUN data packet and WLAN packet, duration of WLAN data packet, and time interval between two consecutive WLAN packets, we propose a segmented packet collision model with the help of the probability theory. We first divide all the packets into small segments and then calculate the collision probability of each segment to acquire a more accurate bit error rate (BER). Then, based on different BERs in distinct segments of the desired SUN packet, average PER of the victim SUN receiver is obtained. Finally, the proposed analytical model is validated by simulations as an effort to evaluate PER performance of a SUN receiver under the WLAN interferences.
机译:智能电表(SUN)是一种新兴的无线技术,用于在智能电网应用中实现智能控制和信息传输。但是,SUN在未许可频段上的操作对在相同频段上工作的其他网络(例如无线局域网(WLAN))产生的外部干扰非常敏感。本文旨在分析受害SUN接收器在一个或多个WLAN传输节点的干扰下的分组错误率(PER)性能。为了应对由多个随机变量利用的情况,例如所需SUN数据包与WLAN数据包之间的偏移,WLAN数据包的持续时间以及两个连续WLAN数据包之间的时间间隔等情况,我们借助以下方法提出了分段数据包冲突模型:概率论。我们首先将所有数据包分成小段,然后计算每个段的冲突概率,以获得更准确的误码率(BER)。然后,基于所需SUN数据包不同段中的不同BER,获得受害SUN接收器的平均PER。最后,通过仿真验证了所提出的分析模型,以评估WLAN干扰下SUN接收机的PER性能。

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