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Performance analysis of spatially distributed LTE-U/NR-U and Wi-Fi networks: An analytical model for coexistence study
Journal of Network and Computer Applications ( IF 7.7 ) Pub Date : 2021-07-09 , DOI: 10.1016/j.jnca.2021.103157
Anand M. Baswade 1 , Mohith Reddy 2 , Antony Franklin A. 3 , Bheemarjuna Reddy Tamma 3 , Vanlin Sathya 4
Affiliation  

To access an unlicensed channel, Wi-Fi follows the Listen Before Talk (LBT) mechanism, whereas LTE-U (and future New Radio in Unlicensed (NR-U) Patriciello et al., 2020; Lagen et al., 2019) adopts the ON–OFF duty-cycled mechanism to fairly share the channel with Wi-Fi. These different mechanisms result in quite different performance for Wi-Fi and LTE-U/NR-U based on their relative deployment and density in the environment. In this work, we present an analytical model for the characterization of achievable throughputs of Wi-Fi and LTE-U networks in spatially distributed scenarios with downlink-prevalent traffic. The proposed model is used to study how LTE-U and Wi-Fi coexist with each other in spatially distributed scenarios. Our extensive simulation results show that it is a reliable model for estimating the throughput of both Wi-Fi and LTE-U in a spatially distributed deployment. The impact of various network parameters such as energy detection and carrier sense threshold on Wi-Fi and LTE-U coexistence is explored as a byproduct and corroborated via a National Instrument experimental test bed. Our model gives very high accuracy in throughput estimation and the mean normalized error is less than 3% for a 80-node scenario in which 50% of nodes belong to each of Wi-Fi and LTE-U network. The analytical model is also used to conduct coexistence studies of LTE-U and Wi-Fi.



中文翻译:

空间分布的 LTE-U/NR-U 和 Wi-Fi 网络的性能分析:共存研究的分析模型

为了访问未经许可的信道,Wi-Fi 遵循先听后听 (LBT) 机制,而 LTE-U(以及未经许可的未来新无线电 (NR-U) Patriciello 等人,2020 年;Lagen 等人,2019 年)采用ON-OFF 占空比机制与 Wi-Fi 公平地共享信道。根据 Wi-Fi 和 LTE-U/NR-U 在环境中的相对部署和密度,这些不同的机制导致它们的性能截然不同。在这项工作中,我们提出了一个分析模型,用于表征具有下行链路流行流量的空间分布式场景中 Wi-Fi 和 LTE-U 网络的可实现吞吐量。所提出的模型用于研究 LTE-U 和 Wi-Fi 在空间分布场景中如何相互共存。我们广泛的仿真结果表明,它是一个可靠的模型,可用于在空间分布式部署中估算 Wi-Fi 和 LTE-U 的吞吐量。各种网络参数(例如能量检测和载波侦听阈值)对 Wi-Fi 和 LTE-U 共存的影响作为副产品进行了探索,并通过 National Instrument 实验测试台得到了证实。我们的模型在吞吐量估计方面提供了非常高的准确度,对于 80 个节点的场景,其中 50% 的节点属于 Wi-Fi 和 LTE-U 网络,平均归一化误差小于 3%。该分析模型还用于进行 LTE-U 和 Wi-Fi 的共存研究。各种网络参数(例如能量检测和载波侦听阈值)对 Wi-Fi 和 LTE-U 共存的影响作为副产品进行了探索,并通过 National Instrument 实验测试台得到了证实。我们的模型在吞吐量估计方面提供了非常高的准确度,对于 80 个节点的场景,其中 50% 的节点属于 Wi-Fi 和 LTE-U 网络,平均归一化误差小于 3%。该分析模型还用于进行 LTE-U 和 Wi-Fi 的共存研究。各种网络参数(例如能量检测和载波侦听阈值)对 Wi-Fi 和 LTE-U 共存的影响作为副产品进行了探索,并通过 National Instrument 实验测试台得到了证实。我们的模型在吞吐量估计方面提供了非常高的准确度,对于 80 个节点的场景,其中 50% 的节点属于 Wi-Fi 和 LTE-U 网络,平均归一化误差小于 3%。该分析模型还用于进行 LTE-U 和 Wi-Fi 的共存研究。

更新日期:2021-07-14
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