Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity Analysis  

作　　者：Hang Mi Bo Ai Ruisi He Xin Zhou Zhangfeng Ma Mi Yang Zhangdui Zhong Ning Wang 

机构地区：[1]State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China [2]Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis,Zhengzhou University,Zhengzhou 450001,China [3]PengCheng Laboratory,Shenzhen 518000,China [4]National Institute of Metrology of China,Beijing 100029,China [5]School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China

出　　处：《China Communications》2022年第11期16-31,共16页中国通信（英文版）

基　　金：supported by National Key R&D Program of China under Grant 2022YFF0608103;the National Natural Science Foundation of China under Grant 61922012;the Science and Technology Program of State Administration for Market Regulation under Grant 2021MK155;the Fundamental Funds of National Institute of Metrology under Grant AKYZD2116-2.

摘　　要：Wireless channel characteristics have significant impacts on channel modeling,estimation,and communication performance.While the channel sparsity is an important characteristic of wireless channels.Utilizing the sparse nature of wireless channels can reduce the complexity of channel modeling and estimation,and improve system design and performance analysis.Compared with the traditional sub6 GHz channel,millimeter wave(mmWave)channel has been considered to be more sparse in existing researches.However,most research only assume that the mmWave channel is sparse,without providing quantitative analysis and evaluation.Therefore,this paper evaluates the sparsity of mmWave channels based on mmWave channel measurements.A vector network analyzer(VNA)-based mmWave channel sounder is developed to measure the channel at 28 GHz,and multi-scenario channel measurements are conducted.The Gini index,Rician𝐾factor and rootmean-square(RMS)delay spread are used to measure channel sparsity.Then,the key factors affecting mmWave channel sparsity are explored.It is found that antenna steering direction and scattering environment will affect the sparsity of mmWave channel.In addition,the impact of channel sparsity on channel eigenvalue and capacity is evaluated and analyzed.

关 键 词：channel sparsity channel measurement mmWave channel measures of sparsity 

分 类 号：TN929.5[电子电信—通信与信息系统]