期刊文献+

Multi-Scenario Millimeter Wave Wireless Channel Measurements and Sparsity Analysis 被引量:4

下载PDF
导出
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.
出处 《China Communications》 SCIE CSCD 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.
  • 相关文献

参考文献3

二级参考文献7

共引文献14

同被引文献25

引证文献4

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部