摘要翻译：
小蜂窝LTE和Wi-Fi网络在5美元GHz的非许可频段上共存是一个积极感兴趣的话题，主要是由两个（蜂窝和Wi-Fi）部门的行业团体推动的。3GPP REL的一个值得注意的替代方案。13用于共存的定义LTE授权辅助接入（LTE-LAA）机制是规定载波侦听自适应传输(CSAT)的未授权LTE（LTE-U）Forum\cite{lteuforum}，其中LTE利用未授权频带作为补充下行链路未授权载波（以增强下行链路数据速率）以使用授权频谱进行正常操作。在这项工作中，我们提供了一个新的分析模型来分析非授权固定占空比循环LTE（LTE-DC）与Wi-Fi共存的性能。此外，利用新开发的共存堆栈将分析结果与基于ns-3(www.nsnam.org)的仿真结果进行了交叉验证。然后，研究了{\em公平共存}的概念，这些概念可以通过调整LTE占空比来实现。结果表明，随着Wi-Fi节点数量的增加，与0.5占空比的LTE-DC共存的Wi-Fi网络比相同的Wi-Fi网络具有更高的吞吐量。
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英文标题：
《Modeling, Simulation and Fairness Analysis of Wi-Fi and Unlicensed LTE
  Coexistence》
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作者：
Morteza Mehrnoush, Rohan Patidar, Sumit Roy, Thomas Henderson
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最新提交年份：
2018
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Coexistence of small-cell LTE and Wi-Fi networks in unlicensed bands at $5$ GHz is a topic of active interest, primarily driven by industry groups affiliated with the two (cellular and Wi-Fi) segments. A notable alternative to the 3GPP Rel. 13 defined LTE-Licensed Assisted Access (LTE-LAA) mechanism for coexistence is the unlicensed LTE (LTE-U) Forum \cite{lteuforum} that prescribed Carrier Sense Adaptive Transmission (CSAT) whereby LTE utilizes the unlicensed band as a supplemental downlink unlicensed carrier (to enhance downlink data rate) to normal operation using licensed spectrum. In this work, we provide a new analytical model for performance analysis of unlicensed LTE with fixed duty cycling (LTE-DC) in coexistence with Wi-Fi. Further, the analytical results are cross-validated with ns-3 (www.nsnam.org) based simulation results using a newly developed coexistence stack. Thereafter, notions of {\em fair coexistence} are investigated that can be achieved by tuning the LTE duty cycle. The results show that as the number of Wi-Fi nodes increases, the Wi-Fi network in coexistence with LTE-DC with 0.5 duty cycling achieves a higher throughput than with an identical Wi-Fi network.
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PDF链接：
https://arxiv.org/pdf/1805.03011