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3.5GHz频段5G室内无线信道测量中的均方根时延扩展与相干带宽

RMS Delay Spread vs. Coherence Bandwidth from 5G Indoor Radio Channel Measurements at 3.5 GHz Band.

作者信息

Debaenst Wout, Feys Arne, Cuiñas Iñigo, García Sánchez Manuel, Verhaevert Jo

机构信息

University of Vigo, Department of Signal Theory and Communications-atlanTTic Research Center, 36310 Vigo, Spain.

IDLab, Department of Information Technology, Ghent University-imec, 9052 Gent, Belgium.

出版信息

Sensors (Basel). 2020 Jan 29;20(3):750. doi: 10.3390/s20030750.

DOI:10.3390/s20030750
PMID:32013241
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7038510/
Abstract

Our society has become fully submersed in fourth generation (4G) technologies, setting constant connectivity as the norm. Together with self-driving cars, augmented reality, and upcoming technologies, the new generation of Internet of Things (IoT) devices is pushing the development of fifth generation (5G) communication systems. In 5G architecture, increased capacity, improved data rate, and decreased latency are the objectives. In this paper, a measurement campaign is proposed; we focused on studying the propagation properties of microwaves at a center frequency of 3.5 GHz, commonly used in 5G cellular networks. Wideband measurement data were gathered at various indoor environments with different dimensions and characteristics. A ray-tracing analysis showed that the power spectrum is dominated by the line of sight component together with reflections on two sidewalls, indicating the practical applicability of our results. Two wideband parameters, root mean square delay spread and coherence bandwidth, were estimated for the considered scenarios, and we found that they are highly dependent on the physical dimension of the environment rather than on furniture present in the room. The relationship between both parameters was also investigated to provide support to network planners when obtaining the bandwidth from the delay spread, easily computed by a ray-tracing tool.

摘要

我们的社会已完全沉浸在第四代(4G)技术中,将持续连接视为常态。与自动驾驶汽车、增强现实以及即将出现的技术一起,新一代物联网(IoT)设备正在推动第五代(5G)通信系统的发展。在5G架构中,目标是提高容量、提升数据速率并降低延迟。本文提出了一项测量活动;我们专注于研究5G蜂窝网络中常用的中心频率为3.5 GHz的微波传播特性。在具有不同尺寸和特性的各种室内环境中收集了宽带测量数据。光线追踪分析表明,功率谱由视线分量以及两个侧壁上的反射主导,这表明我们结果的实际适用性。针对所考虑的场景估计了两个宽带参数,即均方根延迟扩展和相干带宽,并且我们发现它们高度依赖于环境的物理尺寸,而非房间内的家具。还研究了这两个参数之间的关系,以便在通过光线追踪工具轻松计算延迟扩展来获取带宽时,为网络规划者提供支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/3a22a26bbe48/sensors-20-00750-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/d7347bb136e8/sensors-20-00750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/22fc274bc567/sensors-20-00750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/80d0b8a22622/sensors-20-00750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/def605bda600/sensors-20-00750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/d9a4b5533810/sensors-20-00750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/58b7d7be7720/sensors-20-00750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/13e6f841ce9c/sensors-20-00750-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/b3c70253e243/sensors-20-00750-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/3a22a26bbe48/sensors-20-00750-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/d7347bb136e8/sensors-20-00750-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/22fc274bc567/sensors-20-00750-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/80d0b8a22622/sensors-20-00750-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/def605bda600/sensors-20-00750-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/d9a4b5533810/sensors-20-00750-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/58b7d7be7720/sensors-20-00750-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/13e6f841ce9c/sensors-20-00750-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/b3c70253e243/sensors-20-00750-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/93d0/7038510/3a22a26bbe48/sensors-20-00750-g009.jpg

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