GMBO - A New Shadowing Fading Modeling Method with Correlative Features for Wireless Body Area Network under Human Moving Conditions

被引:8
|
作者
Wang, Yali [1 ]
Wu, Fan [2 ]
Chen, Rong [1 ]
机构
[1] Chinese Acad Sci, EDA Ctr, Inst Microelect, Beijing 100029, Peoples R China
[2] Beijing Univ Posts & Telecommun, Sch Elect Engn, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND COMMUNICATION ENGINEERING (ICTCE 2018) | 2018年
关键词
Wireless body area network; shadowing fading; correlative channel; cooperative communication;
D O I
10.1145/3291842.3291867
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Wireless body area network can provide e-health medical, athletic and entertainment services which has used in business applications widely. However, there exists serious shadowing fading of wireless transmission with correlative features brought by human movements which has reduced service quality and user experiences obviously. In order to research the correlative characters of wireless links in WBAN under moving conditions, a new shadowing fading modeling method named GMBO (geometrical method of body occlusion) for human body area is proposed. GMBO has two orthogonal planes one of which is for arm waving and the other of which is for torso in the coordinate system. Then the occlusion distant of wireless links in human body can be calculated in GMBO way based on the loss field theory. Both the occlusion factor of shadowing fading and correlative coefficient among wireless links can be calculated and quantitatively analyzed. This work make crucial sense for the assessment of channel capacity, outage probability and relay selection of cooperative communication in WBAN.
引用
收藏
页码:295 / 298
页数:4
相关论文
共 1 条
  • [1] A battery-free wireless body area network towards state perception under all-weather conditions
    Liu, Xu
    Zhang, Yuanzheng
    Wang, Xiaobing
    Zhang, Jiawei
    Dong, Kai
    Wang, Feng
    Li, Hui
    Zheng, Haiwu
    Wu, Yonghui
    Wang, Zhong Lin
    NANO ENERGY, 2023, 116