Interrelated Characteristics and Simulation of the MIMO Channel

2012 ◽  
Vol 236-237 ◽  
pp. 941-947
Author(s):  
Xiu Zai Zhang ◽  
Xi Chen ◽  
Ye Cai Guo
Keyword(s):  
Computer Simulation ◽  
Spatial Correlation ◽  
Channel Capacity ◽  
Channel Model ◽  
Mimo Channel ◽  
Angle Of Arrival ◽  
Simulation Experiments ◽  
Arrival Angle ◽  
Simulation Results ◽  
Wave Angle

In order to study the effects of the parameters from the array antenna on MIMO channel spatial correlation and channel capacity. In this paper, the spatial correlation between the transceivers at both ends of the antenna array for MIMO channel was theoretically analyzed with a random wireless MIMO channel model based on an intuitive physical meaning, as well as antenna spacing, the wave angle of arrival, angle expansion space parameters on MIMO channel spatial correlation and channel capacity were analyzed, and which was described through simulation experiments. The computer simulation results show that the theoretical analysis is correct and reasonable.

Modeling of MIMO Time-Varying Channel

2012 ◽  
Vol 241-244 ◽  
pp. 2430-2433
Author(s):  
Hua Li ◽  
Jian Fang Shi ◽  
Juan Ping Wu ◽  
Run Fang Hao
Keyword(s):  
Channel Capacity ◽  
Channel Model ◽  
Time Correlation ◽  
System Capacity ◽  
Mimo Channel ◽  
Time Varying ◽  
Evaluation Of Performance ◽  
Communication Environment ◽  
Capability Analysis ◽  
Time Varying Channel

Wireless communication environment is very complex, so it is difficult to modeling of MIMO channel. A MIMO channel model was brought forward which has frequency selectivity, and time correlation. Simulation shows this related channel capacity is consistent with theoretical channel capacity. So this model provides powerful implement for simulation of MIMO capability, analysis of system capacity and evaluation of performance.

scholarly journals The Impact of Antenna Height on 3D-MIMO Channel: a Ray Launching Based Analysis

2017 ◽  
Author(s):  
Qi Hong ◽  
Jiliang Zhang ◽  
Hui Zheng ◽  
Hao Li ◽  
Haonan Hu ◽  
...  
Keyword(s):  
Channel Model ◽  
Elevation Angle ◽  
Base Station ◽  
Mimo Channel ◽  
Delay Spread ◽  
Three Dimension ◽  
Angle Of Arrival ◽  
3D Mimo ◽  
The Impact ◽  
Ray Launching

Three dimension (3D) Multi-input-multi-output (MIMO) scheme, which exploits another dimension of the spatial resource, is one of the enabling technologies for the next generation mobile communication. As the elevation angle in 3D-MIMO channel model might varies against the height of the base station transmit antenna, it has to be taken into account carefully. In this paper, the impact of antenna height on the channel characteristics of 3D MIMO channel is investigated by using the intelligent ray launching algorithm (IRLA). Three typical street scenarios, i.e., the straight street, the fork road and the cross road, are selected as benchmarks. On the basis of simulations, joint and marginal probability density functions (PDFs) of both the elevation angle of departure (EAoD) and the elevation angle of arrival (EAoA) are obtained. The elevation angle spread (AS) and the delay spread (DS) under various antenna heights are also discussed. Simulation results indicate that the PDFs of EAoD and EAoA vary characteristics under different street scenarios. Moreover, the minimum value of the DS can be achieved when the antenna height is half of the building height.

Characteristic Analysis of Side Impact of MDB and Rigid Column of Automobile

2013 ◽  
Vol 312 ◽  
pp. 114-118
Author(s):  
Xi Ting Wang ◽  
Yi Feng Zhao ◽  
Xue Jiao Li
Keyword(s):  
Mathematical Modeling ◽  
Computer Simulation ◽  
Finite Element ◽  
Side Impact ◽  
Characteristic Analysis ◽  
Simulation Experiments ◽  
Impact Simulation ◽  
Simulation Results ◽  
Impact Characteristics ◽  
Impact Experiments

Aimed at the design mathematical modeling of a certain brand of automobile, the finite element modeling of the whole car was built with the help of HyperWorks software based on FEA principle. According to the C-NCAP and E-NCAP principles and in the environment of LS-DYNA, the paper did a computer simulation of the side MDB impact and side rigid column impact to the car. From the perspectives of the invasion, invading velocity and invading acceleration of pillar B and the door, as well as the whole car conversion of energy, the paper evaluated the effects of the two impact simulation experiments and contrasted the simulation results of these two impact experiments, which helped study the different impact characteristics and further improve the side impact security of this car.

scholarly journals Statistical Characteristics of Measured 3-Dimensional MIMO Channel for Outdoor-to-Indoor Scenario in China and New Zealand

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Yawei Yu ◽  
Jianhua Zhang ◽  
Mansoor Shafi ◽  
Min Zhang ◽  
Jawad Mirza
Keyword(s):  
New Zealand ◽  
Channel Model ◽  
Elevation Angle ◽  
Statistical Characteristics ◽  
Mimo Channel ◽  
Delay Spread ◽  
Angle Of Arrival ◽  
Power Delay Profile ◽  
3 Dimensional ◽  
Rms Delay Spread

The 3-dimensional (3D) channel model gives a better understanding of statistical characteristics for practical channels than the 2-dimensional (2D) channel model, by taking the elevation domain into consideration. As different organizations and researchers have agreed to a standard 3D channel model, we attempt to measure the 3D channel and determine the parameters of the standard model. In this paper, we present the statistical propagation results of the 3D multiple-input and multiple-output (MIMO) channel measurement campaign performed in China and New Zealand (NZ). The measurements are done for an outdoor-to-indoor (O2I) urban scenario. The dense indoor terminals at different floors in a building form a typical 3D propagation environment. The key parameters of the channel are estimated from the measured channel impulse response (CIR) using the spatial-alternating generalized expectation-maximization (SAGE) algorithm. Till now there is abundant research performed on the azimuth domain; this paper mainly considers the statistical characteristics of the elevation domain. A statistical analysis of 3D MIMO channel results for both China and NZ measurements is presented for the following parameters: power delay profile (PDP), root mean square (rms), delay spread (DS), elevation angle-of-arrival (EAoA) distribution, elevation angle-of-departure (EAoD) distribution, elevation angular spread (AS), and cross-polarization discrimination (XPD).

Extended Sparse Multipath Channel Capacity Estimation Based on Adaptive Array Configuration

2013 ◽  
Vol 765-767 ◽  
pp. 2728-2731
Author(s):  
Jian Jiao ◽  
Xue Jiao Zheng
Keyword(s):  
Antenna Array ◽  
Channel Capacity ◽  
Channel Model ◽  
Wireless Channel ◽  
Mimo Channel ◽  
Adaptive Array ◽  
Uniform Sampling ◽  
Array Configuration ◽  
Reconfigurable Arrays ◽  
Mimo Channel Capacity

A virtual representation of the sparse multipath wireless channel model is proposed based on a physical wireless channel, the channel corresponds to a delay in Doppler scattering angle, uniform sampling in signal space dimensions. This virtual representation model, through the antenna array configuration extension on MIMO channel capacity was estimated. The simulation results show that the three typical antenna array configuration enough that the performance of channel optimal at all SNR conditions can be approximated, reconfigurable arrays can achieve channel capacity expansion purposes.

scholarly journals A Tradeoff between Rich Multipath and High Receive Power in MIMO Capacity

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Zimu Cheng ◽  
Binghao Chen ◽  
Zhangdui Zhong
Keyword(s):  
Channel Capacity ◽  
Channel Model ◽  
Signal To Noise Ratio ◽  
Multiple Input Multiple Output ◽  
Mimo Channel ◽  
Channel Condition ◽  
Multiple Input ◽  
Two Factors ◽  
Input Multiple Output ◽  
Interesting Discussion

A discussion about which of the two factors, rich multipath (in NLOS) or signal-to-noise ratio (SNR) (usually in LOS), affects the Multiple-Input Multiple-Output (MIMO) channel capacity more is presented in this paper. This interesting discussion is investigated by performing simulations using simple circle scatterer model and WINNER II channel model. And the simulation shows that these two factors behave differently as the channel condition varyies. When the scatterer number in channel is low, the high receive SNR is more important to capacity. The multipath richness will have greater influence when the scatterer number exceeds a certain threshold. However, the channel capacity will not change much as the scatterers continue to increase.

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