Body Surface to External Channel Modeling

2014 ◽  
Vol 989-994 ◽  
pp. 4111-4114
Author(s):  
Yi Huai Yang ◽  
Li Fang Wang ◽  
Dong Ya Shen ◽  
Miao Yang
Keyword(s):  
Body Surface ◽  
Path Loss ◽  
Channel Modeling ◽  
Ieee 802.15.6 ◽  
Channel Models ◽  
Mobile Channel ◽  
Loss Models

In order to build WBAN devices and design WBANs, it is imperative to study the characteristics of WBAN channel and model the channel accurately. WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface nodes to external nodes, simulated the path loss models on 820 MHz and 2.36 GHz at both LOS and NLOS situations. We also used the Gauss model to fit the statistic results of the path loss and obtained coefficients of Gauss model.

Simulation Studies in Body Surface to Body Surface Channel Models

2014 ◽  
Vol 556-562 ◽  
pp. 4689-4692
Author(s):  
Yong Gang Xie ◽  
Dong Ya Shen
Keyword(s):  
Body Surface ◽  
Channel Model ◽  
Wireless Body Area Network ◽  
Path Loss ◽  
Area Network ◽  
Simulation Studies ◽  
Body Area ◽  
Channel Models ◽  
Mobile Channel ◽  
Loss Models

The study of the characteristics of WBAN channel model is crucial, due to the fact that it is an important step to design wireless body area network (WBAN). WBAN channel models are so different from the traditional mobile channel models and there are few publications on them. In this paper, we studied the statistic characteristics of the WBAN channel based on the IEEE 802.15.6 models. We focus on body surface to body surface circumstance, simulated the path loss models on 400, 600 and 800MHz and studied the statistic characteristics of the path loss models. Finally, we used the Guass model to fit the statistic results of the path loss and obtained coefficients of Gauss model .

scholarly journals Path-Loss Channel Models for Receiver Spatial Diversity Systems at 2.4 GHz

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Abdulmalik Alwarafy ◽  
Ahmed Iyanda Sulyman ◽  
Abdulhameed Alsanie ◽  
Saleh A. Alshebeili ◽  
Hatim M. Behairy
Keyword(s):  
Communication Systems ◽  
Path Loss ◽  
Spatial Diversity ◽  
Propagation Path ◽  
Real Field ◽  
Channel Models ◽  
Power Combining ◽  
Receiving Antenna ◽  
Diversity Systems ◽  
Loss Models

This article proposes receiver spatial diversity propagation path-loss channel models based on real-field measurement campaigns that were conducted in a line-of-site (LOS) and non-LOS (NLOS) indoor laboratory environment at 2.4 GHz. We apply equal gain power combining (EGC), coherent and noncoherent techniques, on the received signal powers. Our empirical data is used to propose spatial diversity propagation path-loss channel models using the log-distance and the floating intercept path-loss models. The proposed models indicate logarithmic-like reduction in the path-loss values as the number of diversity antennas increases. In the proposed spatial diversity empirical path-loss models, the number of diversity antenna elements is directly accounted for, and it is shown that they can accurately estimate the path-loss for any generalized number of receiving antenna elements for a given measurement setup. In particular, the floating intercept-based diversity path-loss model is vital to the 3GPP and WINNER II standards since they are widely utilized in multi-antenna-based communication systems.

scholarly journals Implementation of an Efficient Channel Model for 5G mm-Wave Bands

2019 ◽  
Vol 8 (12) ◽  
pp. 1674-1678
Keyword(s):  
Spectral Efficiency ◽  
Channel Model ◽  
Path Loss ◽  
Microwave Band ◽  
Channel Models ◽  
Eigen Values ◽  
Loss Models

The approach in this paper is to analyze the propagation features of three distinct bands above 6GHz (i.e. 19, 28 and 38GHz) in an indoor corridor setting. The performance of 3GPP, NYUSIM channel models, Floating Intercept (FI), Frequency Attenuation (FA) path loss models are assessed using propagation features. Most of the available bands are now being used in the microwave band are below 6GHz. For the 5G system, the microwave band above 6GHz and mm-Wavebands can be used as bandwidth needed for all 5G applications. The analysis of LOS scenarios, channel Eigen values and spectral efficiency analyzes the channel model for the propagation of 5G mm-Wave bands

scholarly journals Joint UAV channel modeling and power control for 5G IoT networks

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Xiuhua Fu ◽  
Tian Ding ◽  
Rongqun Peng ◽  
Cong Liu ◽  
Mohamed Cheriet
Keyword(s):  
Energy Efficiency ◽  
Power Control ◽  
Channel Model ◽  
Path Loss ◽  
Channel Modeling ◽  
Signal Propagation ◽  
Spectrum Efficiency ◽  
Propagation Path ◽  
Control Factor ◽  
The Impact

AbstractThis paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal propagation. The 3D distance is used to calculate the path loss, which can better reflect the actual path loss. The power control factor is used to adjust the UAV's uplink transmit power to compensate for different propagation path losses, so as to achieve precise power control. This paper proposes a binary exponential power control algorithm suitable for 5G networked UAV transmitters and presents the entire power control process including the open-loop phase and the closed-loop phase. The effects of power control factors on coverage probability, spectrum efficiency and energy efficiency under different 3D distances are simulated and analyzed. The results show that the optimal power control factor can be found from the point of view of energy efficiency.

scholarly journals Path loss models based on stochastic rays

2007 ◽  
Vol 1 (3) ◽  
pp. 602 ◽  
Author(s):  
L.Q. Hu ◽  
H. Yu ◽  
Y. Chen
Keyword(s):  
Path Loss ◽  
Loss Models
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