Welcome to the CROWD: Design Decisions for Coexisting Radio and Optical Wireless Deployments

Welcome to the CROWD: Design Decisions for Coexisting Radio and Optical Wireless Deployments
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DOI:
10.1109/mnet.2019.1800297
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发表时间:
2019-09-01
期刊:
影响因子:
9.3
通讯作者:
Little, Thomas D. C.
Little, Thomas D. C.
中科院分区:
计算机科学2区
文献类型:
--
作者:
Rahaim, Michael;Abdalla, Iman;Little, Thomas D. C.

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需要新的系统和解决方案来满足未来无线网络中预期的超密集数据需求。无线电和OW通信的异构集成是一种解决方案,其承诺在最需要的地方增加无线容量(例如,室内环境)。这些共存的无线电和光无线部署或CROWD网络将利用密集分布的光小小区来补充传统的RF小小区。光学小小区的方向性允许接入点位于距移动的终端的合理距离处,同时提供大约1 m(2)的覆盖区域。因此,OW网络允许超密集小区、高区域频谱效率和高聚合容量。此外,异构集成允许RF小型小区为高度移动的设备提供覆盖和可靠性。在这项工作中,我们激励通过CROWD网络,审查技术RF/OW共存,并评估动态系统特性的影响。特别是,我们需要在超密集网络的空间分辨率改进的无线环境的统计建模。我们还强调了智能和自适应CROWD网络将发挥的作用,在适应动态环境和移动的设备的流量分布的变化。
Novel systems and solutions are needed to meet the ultra-dense data demand expected in future wireless networks. Heterogeneous integration of radio and OW communications is one solution that promises to add wireless capacity where it is needed most (e.g., indoor environments). These coexisting radio and optical wireless deployments, or CROWD networks, will utilize densely distributed optical small cells to supplement conventional RF small cells. The directionality of the optical small cells allows access points to be located at reasonable distances from the mobile terminals while offering coverage area on the order of 1m(2). Accordingly, the OW network allows for ultra-dense cells, high area spectral efficiency, and high aggregate capacity. Additionally, the heterogeneous integration allows the RF small cells to provide coverage and reliability for highly mobile devices. In this work, we motivate the adoption of CROWD networks, review techniques for RF/OW coexistence, and evaluate the impact of dynamic system characteristics. In particular, we show the need for improved statistical modeling of the wireless environment at the spatial resolution of ultra-dense networks. We also highlight the role that intelligent and adaptive CROWD networks will play in accommodating the variations in traffic distribution from dynamic environments and mobile devices.