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On Modeling and Optimizing LTE/Wi-Fi Coexistence with Prioritized Traffic Classes

机译:基于优先流量类别的LTE / Wi-Fi共存建模和优化

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The dramatic growth in demand for mobile data service has prompted mobile network operators (MNOs) to explore new spectrum resources in unlicensed bands. MNOs have been recently allowed to extend LTE-based service called LTE-LAA over 5 GHz U-NII bands, currently occupied by Wi-Fi. To support applications with diverse QoS requirements, both LTE and Wi-Fi technologies introduce multiple priority classes with different channel contention parameters for accessing unlicensed bands. How these different priority classes affect the interplay between coexisting LTE and Wi-Fi technologies is still relatively under explored. In this paper, we develop a simple and efficient framework that helps MNOs assess the fair coexistence between MNOs and Wi-Fi operators with prioritized channel access under multi-channel setting. We derive an approximated close-form solution for each MNO to pre-evaluate the probability of successful transmission (PST), average contention delay, and average throughput when adopting different priority classes to serve different traffics. MNOs and Wi-Fi operators can fit our model using measurements collected offline and/or online, and use it to further optimize their systems' throughput and latency. Our results reveal that PSTs computed with our approximated closed-form model approach those collected from system-level simulations with around 95% accuracy under scenarios of dense network deployment density and high traffic intensity.
机译:对移动数据服务需求的急剧增长促使移动网络运营商(MNO)在免许可频段中探索新的频谱资源。最近,允许MNO在当前被Wi-Fi占用的5 GHz U-NII频段上扩展称为LTE-LAA的基于LTE的服务。为了支持具有不同QoS要求的应用程序,LTE和Wi-Fi技术都引入了具有不同信道争用参数的多个优先级类别,以访问非许可频段。这些不同的优先级类别如何影响共存的LTE和Wi-Fi技术之间的相互作用仍处于相对探索中。在本文中,我们开发了一个简单有效的框架,可帮助MNO通过在多信道设置下优先分配信道访问来评估MNO和Wi-Fi运营商之间的公平共存。我们为每个MNO得出近似的近似形式的解决方案,以预先评估采用不同优先级类别服务于不同流量时的成功传输(PST),平均竞争延迟和平均吞吐量。移动网络运营商和Wi-Fi运营商可以使用离线和/或在线收集的测量值来拟合我们的模型,并将其用于进一步优化其系统的吞吐量和延迟。我们的结果表明,在密集的网络部署密度和高流量密度的情况下,使用我们的近似封闭形式模型计算的PST接近从系统级模拟收集的PST,其准确度约为95%。

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