Analysis Of Channel Capacity In Indoor MIMO System Based On Ray-Tracing

MIMO has been widely applied to Wi-MAX and 4G wireless communication system, so the research of it has become a hot and hard spot in the field of wireless communication. In 2013, the mobile data traffic happened in indoor has reached to 70% in our country and will continue to ascend. The prediction of the distribution of field and the channel capacity is the basic of communication system network planning and management which has important significance of the wireless network optimization. The indoor environment is different from the outdoor environment, statistical similarity between channels does not exist. The predicting outcomes are affected by the indoor layout structure and the material of furniture, so deterministic indoor MIMO channel modeling is very important.In this paper, we select the mirror image method which is one of the ray-tracing model to establish one of the Tianjin University indoor scenario MIMO channel model. Then, we predict the path loss and compare with the measured values to verify the correctness and validity of the model. Lastly, we calculate the parameters of phase angle and time delay based on ray tracing model and analyses the effect of SNR and the number of antennas on the MIMO channel capacity.The innovation of this essay is that we present a ray tracing method which is based on extracting 3D visible element database for indoor MIMO channel modeling. This method can effectively reduce the number of surfaces and wedges which is involved in ray tracing calculations and then reduce the complexity of the algorithm. In order to make the model more universal and the prediction results more accurate, we consider all kinds of different objects in the indoor scene.