MIMO Channel Simulator Design for Time-Varying Cooperative Networks with Heterogeneous Systems

2015 ◽  
Author(s):  
Bachir Habib ◽  
Badih Baz
Keyword(s):  
Heterogeneous Systems ◽  
Cooperative Networks ◽  
Mimo Channel ◽  
Time Varying ◽  
Simulator Design ◽  
Channel Simulator

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.

2D autoregressive model‐based dynamic correlated massive MU‐MIMO channel simulator

2017 ◽  
Vol 53 (17) ◽  
pp. 1228-1230 ◽  
Author(s):  
Tianyu Huang ◽  
Linhua Ma ◽  
Xing Hu ◽  
Shaocheng Huang ◽  
Shiping Liu
Keyword(s):  
Autoregressive Model ◽  
Mimo Channel ◽  
Model Based ◽  
Channel Simulator

scholarly journals A Triply Selective MIMO Channel Simulator Using GPUs

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
R. Carrasco-Alvarez ◽  
R. Carreón-Villal ◽  
J. Vázquez Castillo ◽  
J. Ortegón Aguilar ◽  
O. Longoria-Gandara ◽  
...  
Keyword(s):  
Graphics Processing Units ◽  
Multiple Input Multiple Output ◽  
Direct Consequence ◽  
Mimo Channel ◽  
Computational Time ◽  
Space Correlation ◽  
Single Input Single Output ◽  
Single Output ◽  
Input Multiple Output ◽  
Channel Simulator

A methodology for implementing a triply selective multiple-input multiple-output (MIMO) simulator based on graphics processing units (GPUs) is presented. The resulting simulator is based on the implementation of multiple double-selective single-input single-output (SISO) channel generators, where the multiple inputs and the multiple received signals have been transformed in order to supply the corresponding space correlation of the channel under consideration. A direct consequence of this approach is the flexibility provided, which allows different propagation statistics to each SISO channel to be specified and thus more complex environments to be replicated. It is shown that under some specific constraints, the statistics of the triply selective MIMO simulator are the same as those reported in the state of art. Simulation results show the computational time improvement achieved, up to 650-fold for an 8 × 8 MIMO channel simulator when compared with sequential implementations. In addition to the computational improvement, the proposed simulator offers flexibility for testing a variety of scenarios in vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) systems.

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