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

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.

Author(s):  
Nidal Qasem

<span>The 60 GHz band has been selected for short-range communication systems to meet consumers’ needs for high data rates. However, this frequency is attenuated by obstacles. This study addresses the limitations of the 60 GHz band by modifying indoor environments with ring Frequency Selective Surfaces (FSSs) wallpaper, thereby increasing its utilization. The ring FSS wallpaper response at a 61.5 GHz frequency has been analyzed using both MATLAB and Computer Simulation Technology (CST) Microwave Studio (MWS) software. ‘Wireless InSite’ is also used to demonstrate enhanced wave propagation in a building modified with ring FSSs wallpaper. The demonstration is applied to Single Input Single Output (SISO) and Multiple Input Multiple Output (MIMO) systems to verify the effectiveness of FSSs on such systems’ capacity. The effectiveness of the suggested modification over delay spread has been studied for the MIMO scenario, as well as the effect of the human body on capacity. Simulation results presented here show that modifying a building using ring FSS wallpaper is an attractive scheme for significantly improving the indoor 60 GHz wireless communications band. This paper also presents and compares two large-scale indoor propagation Path Loss Models (PLMs), the Close-In (CI) free space reference distance model and the Floating Intercept (FI) model. Data obtained from ‘Wireless InSite’ over distances ranging from 4 to 14.31 m is analyzed. Results show that the CI model provides good estimation and exhibits stable behavior over frequencies and distances, with a solid physical basis and less computational complexity when compared to the FI model. </span>


2014 ◽  
Vol 52 (9) ◽  
pp. 78-86 ◽  
Author(s):  
Ahmed Iyanda Sulyman ◽  
Almuthanna T. Nassar ◽  
Mathew K. Samimi ◽  
George R. Maccartney ◽  
Theodore S. Rappaport ◽  
...  

2016 ◽  
Vol 15 (10) ◽  
pp. 6939-6947 ◽  
Author(s):  
Ahmed Iyanda Sulyman ◽  
Abdulmalik Alwarafy ◽  
George R. MacCartney ◽  
Theodore S. Rappaport ◽  
Abdulhameed Alsanie

2017 ◽  
Vol 65 (12) ◽  
pp. 6624-6635 ◽  
Author(s):  
Ahmed Iyanda Sulyman ◽  
Hussein Seleem ◽  
Abdulmalik Alwarafy ◽  
Khaled M. Humadi ◽  
Abdulhameed Alsanie

2014 ◽  
Vol 989-994 ◽  
pp. 4111-4114
Author(s):  
Yi Huai Yang ◽  
Li Fang Wang ◽  
Dong Ya Shen ◽  
Miao Yang

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.


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