scholarly journals Appendix E: Specification of Furtherℒ-Path Channel Models According to COST 207

2003 ◽  
pp. 343-346
Keyword(s):  
Channel Models

Study of Finitistic Channel Models.

1983 ◽  
Author(s):  
D. L. Neuhoff ◽  
P. C. Shields
Keyword(s):  
Channel Models

MIMO Systems in a Composite Fading and Generalized Noise Scenario: A Review

2020 ◽  
Vol 14 ◽  
Author(s):  
Keerti Tiwari
Keyword(s):  
System Performance ◽  
Performance Enhancement ◽  
Channel Model ◽  
Mimo Systems ◽  
Mimo System ◽  
Spatial Diversity ◽  
Spatial Multiplexing ◽  
Channel Models ◽  
Efficient System ◽  
Composite Channel

: Multiple-input multiple-output (MIMO) systems have been endorsed to enable future wireless communication requirements. The efficient system designing appeals an appropriate channel model, that considers all the dominating effects of wireless environment. Therefore, some complex or less analytically acquiescent composite channel models have been proposed typically for single-input single-output (SISO) systems. These models are explicitly employed for mobile applications, though, we need a specific study of a model for MIMO system which can deal with radar clutters and different indoor/outdoor and mobile communication environments. Subsequently, the performance enhancement of MIMO system is also required in such scenario. The system performance enhancement can be examined by low error rate and high capacity using spatial diversity and spatial multiplexing respectively. Furthermore, for a more feasible and practical system modeling, we require a generalized noise model along with a composite channel model. Thus, all the patents related to MIMO channel models are revised to achieve the near optimal system performance in real world scenario. This review paper offers the methods to improve MIMO system performance in less and severe fading as well as shadowing environment and focused on a composite Weibull-gamma fading model. The development is the collective effects of selecting the appropriate channel models, spatial multiplexing/detection and spatial diversity techniques both at the transmitter and the receivers in the presence of arbitrary noise.

Overview of spatial channel models for antenna array communication systems

1998 ◽  
Vol 5 (1) ◽  
pp. 10-22 ◽  
Author(s):  
R.B. Ertel ◽  
P. Cardieri ◽  
K.W. Sowerby ◽  
T.S. Rappaport ◽  
J.H. Reed
Keyword(s):  
Antenna Array ◽  
Communication Systems ◽  
Channel Models

scholarly journals BDS B1I multipath channel statistical model comparison between static and dynamic scenarios in dense urban canyon environment

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Xin Chen ◽  
Di He ◽  
Ling Pei
Keyword(s):  
Model Comparison ◽  
Satellite Orbit ◽  
Estimation Algorithm ◽  
Intermediate Frequency ◽  
Satellite System ◽  
Multipath Channel ◽  
Navigation Satellite ◽  
Navigation Systems ◽  
Distribution Models ◽  
Channel Models

Abstract Global Navigation Satellite System (GNSS) multipath channel models are fundamental and critical for signal simulation and receiver performance evaluation. They also aid the designing of suitable multipath error mitigation algorithms when the properties of multipath channel are available. However, there is insufficient existing research on BeiDou Navigation Satellite System (BDS) signal multipath channel models. In this study, multipath channel statistical models are established on the basis of extensive datasets of the BDS B1I signal. A multipath parameter estimation algorithm is designed to extract information of multipath rays from the intermediate frequency data. The delay, power loss, Doppler fading frequency, and lifetime distribution models for static and dynamic vehicle platforms are established and compared, and the effects of the satellite orbit type and platform speed on the models are analyzed. The results reveal the detailed distribution and variation characteristics of the multipath parameters and are valuable for the development of accurate urban navigation systems.

scholarly journals Measurements-Based Channel Models for Indoor LiFi Systems

2020 ◽  
pp. 1-1
Author(s):  
Mohamed Amine Arfaoui ◽  
Mohammad Dehghani Soltani ◽  
Iman Tavakkolnia ◽  
Ali Ghrayeb ◽  
Chadi Assi ◽  
...  
Keyword(s):  
Channel Models

scholarly journals Researching on the Deterministic Channel Models for Urban Microcells Considering Diffraction Effects

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2143
Author(s):  
Chunzhi Hou ◽  
Zhensen Wu ◽  
Jiaji Wu ◽  
Yunhua Cao ◽  
Leke Lin ◽  
...  
Keyword(s):  
Millimeter Wave ◽  
Wireless Channel ◽  
Experimental Results ◽  
Line Of Sight ◽  
Diffraction Effect ◽  
Channel Models ◽  
Wave Channel ◽  
Channel Parameters ◽  
Diffraction Effects ◽  
Ray Launching

Deterministic channel models, such as the three-dimensional (3D) ray launching method, can yield wireless channel parameters. In the non-line-of-sight (NLOS) propagation, the outdoor 3D ray launching method that considers diffraction effects is more accurate than the one that does not. While considering the diffraction effect, obtaining the diffraction point is challenging. This paper proposed a method for determining diffracted rays using the receiving sphere method in 3D ray launching. The diffraction point is determined using the shortest distance method between two straight lines, and the signal loss from the transmitting to receiving antennas is obtained. Furthermore, experiments on a millimeter wave in a microcell scenario were performed. The test results of the wireless channel parameters were compared with theoretical calculations. The results obtained via the 3D ray launching method that only considers the specular reflection and direct rays agree with the experimental results in the line-of-sight (LOS); furthermore, they generate larger errors compared with the experimental results in the NLOS. The results obtained via the 3D ray launching method that considers the direct ray, reflected rays, and diffracted rays agree with the experimental results both in the LOS and NLOS. Therefore, the 3D ray launching method that considers the diffraction effect can improve the prediction accuracy of the millimeter wave channel parameters in a microcell.

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