典型文献
Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity Analysis
文献摘要：
Wireless channel characteristics have sig-nificant impacts on channel modeling,estimation,and communication performance.While the channel spar-sity is an important characteristic of wireless chan-nels.Utilizing the sparse nature of wireless chan-nels can reduce the complexity of channel modeling and estimation,and improve system design and per-formance analysis.Compared with the traditional sub-6 GHz channel,millimeter wave(mmWave)chan-nel has been considered to be more sparse in exist-ing researches.However,most research only assume that the mmWave channel is sparse,without provid-ing quantitative analysis and evaluation.Therefore,this paper evaluates the sparsity of mmWave chan-nels based on mmWave channel measurements.A vector network analyzer(VNA)-based mmWave chan-nel sounder is developed to measure the channel at 28 GHz,and multi-scenario channel measurements are conducted.The Gini index,Rician K factor and root-mean-square(RMS)delay spread are used to mea-sure channel sparsity.Then,the key factors affecting mmWave channel sparsity are explored.It is found that antenna steering direction and scattering environ-ment will affect the sparsity of mmWave channel.In addition,the impact of channel sparsity on channel eigenvalue and capacity is evaluated and analyzed.
文献关键词：
中图分类号：
作者姓名：
Hang Mi;Bo Ai;Ruisi He;Xin Zhou;Zhangfeng Ma;Mi Yang;Zhangdui Zhong;Ning Wang
作者机构：
State Key Laboratory of Rail Traffic Control and Safety,Beijing Jiaotong University,Beijing 100044,China;Henan Joint International Research Laboratory of Intelligent Networking and Data Analysis,Zhengzhou University,Zhengzhou 450001,China;PengCheng Laboratory,Shenzhen 518000,China;National Institute of Metrology of China,Beijing 100029,China;School of Information Engineering,Zhengzhou University,Zhengzhou 450001,China
文献出处：
引用格式：
[1]Hang Mi;Bo Ai;Ruisi He;Xin Zhou;Zhangfeng Ma;Mi Yang;Zhangdui Zhong;Ning Wang-.Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity Analysis)[J].中国通信（英文版）,2022(11):16-31
A类：
spar,Rician
B类：
Multi,Scenario,Millimeter,Wireless,Channel,Measurements,Sparsity,Analysis,channel,characteristics,have,nificant,impacts,modeling,estimation,communication,performance,While,important,wireless,nels,Utilizing,sparse,nature,reduce,complexity,improve,system,design,analysis,Compared,traditional,sub,GHz,millimeter,wave,mmWave,has,been,considered,more,exist,researches,However,most,only,assume,that,without,provid,quantitative,evaluation,Therefore,this,paper,evaluates,sparsity,measurements,vector,network,analyzer,VNA,sounder,developed,multi,scenario,conducted,Gini,root,mean,square,RMS,delay,spread,used,Then,key,factors,affecting,explored,It,found,antenna,steering,direction,scattering,environ,will,In,addition,eigenvalue,capacity,evaluated,analyzed
AB值：
0.494907
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