Modeling And Simulating Of Space-Time MIMO Wireless Channels

The origin of the multi-input-multi-output (MIMO) technology is the combination of transmit antenna and receive antenna to improve the communication quality of each user or communication efficiency. Unlike the cable channel is fixed and predictable, the wireless channel is random, even the speed of the mobile station will reflect on the attenuation of the signal level. Therefore, the wireless channel is very difficult to analyze. Careful analysis of the transmission characteristics of wireless channel is the premise to improve wireless transmission efficiency and quality, in addition to the necessary measurement, the most important approach is to simulate a channel model to establish the characteristics of the actual channel.Firstly, this paper describes the characteristics of the MIMO technology and the information theory, followed by the introduction of the space-time MIMO wireless channel fading characteristics and the methods of channel modeling, and then focus on the space-time MIMO wireless channel modeling. From the theory of multi-antenna channel capacity we know that, the correlation between the antenna link impacts critically on the MIMO channel capacity, therefore MIMO channel model needs to reflect this important feature. What we use in this article is the WINNER channel model, which can comprehensively respect the correlation between the antenna links. The novel feature of the WINNER model is its parameterization, using of the same modeling approach for both indoor and outdoor environments. The basic modeling philosophy behind the WINNER is: the sum of specular components is used to describe the changes in the channel impulse response (CIR) between each transmitting and receiving antenna element. WINNER channel model can be used in link level and system level performance evaluation of wireless systems. The concrete problems in WINNER channel modeling include the methods of WINNER channel modeling, the propagation scenarios, and the detailed steps of channel parameters and coefficients construction processes, then WINNER channel model is given a specific description simulation module, and select three typical scenarios for simulation and analysis to generate channel feature. By learning the modeling process, we can follow the idea to establish the channel model based on the data under the conditions of laboratory equipment.