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Coverage and Rate Analysis for Co-Existing RF/VLC Downlink Cellular Networks

机译:共存RF / VLC下行链路蜂窝网的覆盖率和速率分析   网络

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摘要

This paper provides a stochastic geometry framework to perform the coverageand rate analysis of a typical user in co-existing VLC and RF networks coveringa large indoor area. The developed framework can be customized to capture theperformance of a typical user in various network configurations such as (i)RF-only, in which only small base-stations (SBSs) are available to provide thecoverage to a user, (ii) VLC-only, in which only optical BSs (OBSs) areavailable to provide the coverage to a user, (iii) opportunistic RF/VLC, wherea user selects the network with maximum received signal power, and (iv) hybridRF/VLC, where a user can simultaneously utilize the available resources fromboth RF and VLC networks. The developed model for VLC network preciselycaptures the impact of the field-of-view (FOV) of the photo-detector (PD)receiver on the number of interferers, distribution of the aggregateinterference, association probability, and the coverage of a typical user.Closed-form approximations are presented for special cases of practicalinterest and for asymptotic scenarios such as when the intensity of SBSsbecomes very low. The derived expressions enable us to obtain closed-formsolutions for various network design parameters (such as intensity of OBSs andSBSs, transmit power, and/or FOV) such that the number of active users can bedistributed optimally among RF and VLC networks. Also, we optimize the networkparameters in order to prioritize the association of users to VLC network.Finally, simulations are carried out to verify the derived analyticalsolutions. Important trade-offs between height and intensity of OBSs arehighlighted to optimize the performance of a user in VLC networks.
机译:本文提供了一个随机的几何框架,可以在覆盖大室内区域的VLC和RF网络共存的情况下,对典型用户进行覆盖和速率分析。可以对开发的框架进行自定义,以捕获各种网络配置中典型用户的性能,例如(i)仅RF,其中只有小型基站(SBS)可以为用户提供覆盖,(ii)VLC-仅在其中仅光学BS(OBS)可用于向用户提供覆盖范围的情况下,(iii)机会RF / VLC,其中用户选择具有最大接收信号功率的网络,以及(iv)混合RF / VLC,在此情况下,用户可以同时利用来自RF和VLC网络的可用资源。为VLC网络开发的模型可精确捕获光电探测器(PD)接收器的视场(FOV)对干扰物数量,总干扰分布,关联概率和典型用户覆盖范围的影响。对于实际感兴趣的特殊情况和渐近方案(例如,当SBS的强度变得非常低时),提出了封闭形式的近似值。派生的表达式使我们能够获得各种网络设计参数(例如OBS和SBS的强度,发射功率和/或FOV)的闭式解,从而可以在RF和VLC网络之间最佳地分配活动用户的数量。此外,我们优化了网络参数,以优先考虑用户与VLC网络的关联。最后,通过仿真验证了得出的解析解。强调了OBS高度和强度之间的重要权衡,以优化VLC网络中用户的性能。

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