9th International Conference on Communications and Networking in China

Research Article

60-GHz Channel Characteristic Interdependence Investigation for M2M Networks

  • @INPROCEEDINGS{10.4108/icst.chinacom.2014.256202,
        author={Suiyan Geng and Shengyao Liu and Xiongwen Zhao},
        title={60-GHz Channel Characteristic Interdependence Investigation for M2M Networks},
        proceedings={9th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={1},
        keywords={mm-wave 60 ghz channel parameters correlation coefficient m2m networks},
        doi={10.4108/icst.chinacom.2014.256202}
    }
    
  • Suiyan Geng
    Shengyao Liu
    Xiongwen Zhao
    Year: 2015
    60-GHz Channel Characteristic Interdependence Investigation for M2M Networks
    CHINACOM
    IEEE
    DOI: 10.4108/icst.chinacom.2014.256202
Suiyan Geng1, Shengyao Liu1, Xiongwen Zhao1,*
  • 1: North China Electric Power University
*Contact email: huadian_zhaoxw@126.com

Abstract

In this paper, based on experimental channel measurements performed at 60 GHz in a typical indoor environment for both LOS and NLOS scenarios with different antenna configurations, the interdependencies of different channel parameters are investigated. Specifically, the interdependencies of channel parameters are examined by calculating correlation coefficients between number of paths, rms delay spread, Rice K-factor, and shadow fading. The results show that parameters in the LOS environment are highly correlated compared with the correlation coefficients in the NLOS case generally. In the LOS case, correlation coefficients are higher for horn-omni than horn-horn antenna configurations. It is found that negative correlation exists between K-factor with parameters of number of paths, delay spread and shadow fading. A linear model of number of paths with delay spread, K-factor and shadow fading is established for predicting channel parameters from one another. The presented results can be used for design of machine-to-machine (M2M) networks.