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Queuing Theory Based Co-Channel Interference Analysis Approach for High-Density Wireless Local Area Networks

机译:基于排队论的高密度无线局域网共信道干扰分析方法

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摘要

Increased co-channel interference (CCI) in wireless local area networks (WLANs) is bringing serious resource constraints to today’s high-density wireless environments. CCI in IEEE 802.11-based networks is inevitable due to the nature of the carrier sensing mechanism however can be reduced by resource optimization approaches. That means the CCI analysis is basic, but also crucial for an efficient resource management. In this article, we present a novel CCI analysis approach based on the queuing theory, which considers the randomness of end users’ behavior and the irregularity and complexity of network traffic in high-density WLANs that adopts the M/M/c queuing model for CCI analysis. Most of the CCIs occur when multiple networks overlap and trigger channel contentions; therefore, we use the ratio of signal-overlapped areas to signal coverage as a probabilistic factor to the queuing model to analyze the CCI impacts in highly overlapped WLANs. With the queuing model, we perform simulations to see how the CCI influences the quality of service (QoS) in high-density WLANs.
机译:无线局域网(WLAN)中同信道干扰(CCI)的增加,给当今的高密度无线环境带来了严重的资源限制。由于载波侦听机制的本质,基于IEEE 802.11的网络中的CCI是不可避免的,但是可以通过资源优化方法来降低。这意味着CCI分析是基本的,但对于有效的资源管理也至关重要。在本文中,我们提出了一种基于排队论的新颖CCI分析方法,该方法考虑了最终用户行为的随机性以及高密度WLAN中采用M / M / c排队模型的网络流量的不规则性和复杂性。 CCI分析。大多数CCI发生在多个网络重叠并触发信道争用时。因此,我们使用信号重叠区域与信号覆盖率之比作为排队模型的概率因素,以分析高度重叠的WLAN中的CCI影响。使用排队模型,我们进行仿真以查看CCI如何影响高密度WLAN中的服务质量(QoS)。

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