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关于非授权频段中LTE-LAA的共存:建模与性能分析

On the Coexistence of LTE-LAA in the Unlicensed Band: Modeling and Performance Analysis.

作者信息

Bitar Naim, Kalaa Mohamad Omar Al, Seidman Seth J, Refai Hazem H

机构信息

Department of Electrical and Computer Engineering, The University of Oklahoma, Tulsa, OK 74135, USA.

Center for Devices and Radiological Health, U.S. Food and Drug Administration, Silver Spring, MD 20993, USA.

出版信息

IEEE Access. 2018 Oct 12;6:52668-52681. doi: 10.1109/access.2018.2870757.

DOI:10.1109/access.2018.2870757
PMID:35223336
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8867443/
Abstract

Long term evolution (LTE) technology leveraging the unlicensed band is anticipated to provide a solution for the challenges stemming from the rapid growth of mobile wireless services, the scarcity of available licensed spectrum, and the expected significant increase in mobile data traffic. Ensuring fair operation in terms of spectrum sharing with current unlicensed spectrum incumbents is a key concern relative to the success and viability of Unlicensed LTE (U-LTE). This paper addresses the problem of modeling and evaluating the coexistence of LTE license-assisted-access in the unlicensed band. The paper presents a novel analytical model using Markov chain to accurately model the LAA listen-before-talk scheme, as specified in the final technical specification 36.213 of 3GPP release 13 and 14. Furthermore, model validation is demonstrated through numerical and simulation results comparison. Model performance evaluation is examined and contrasted with IEEE 802.11 distributed coordination function. Finally, a comprehensive coexistence performance analysis is conducted for both homogeneous and heterogeneous network scenarios and coexistence results are presented and discussed herein.

摘要

利用非授权频段的长期演进(LTE)技术有望为应对移动无线服务快速增长、可用授权频谱稀缺以及移动数据流量预期大幅增加所带来的挑战提供解决方案。相对于非授权LTE(U-LTE)的成功与可行性而言,确保与当前非授权频谱使用者在频谱共享方面的公平运行是一个关键问题。本文探讨了对非授权频段中LTE授权辅助接入共存进行建模和评估的问题。本文提出了一种新颖的分析模型,该模型使用马尔可夫链来精确模拟3GPP版本13和14的最终技术规范36.213中规定的LAA先听后说方案。此外,通过数值和仿真结果比较来证明模型验证。对模型性能评估进行了研究,并与IEEE 802.11分布式协调功能进行了对比。最后,针对同构和异构网络场景进行了全面的共存性能分析,并在此展示和讨论了共存结果。

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2
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