A STOCHASTIC MODEL OF SPATIO-TEMPORALLY CORRELATED NARROWBAND MIMO CHANNEL BASED ON INDOOR MEASUREMENT

Abstract -In this work we propose a spatio-temporal model for narrowband indoor non line of sight (NLOS) MIMO channel. The model bases on the parameterization from measured 8x4 MIMO radio channel. Validation of the model performance is made by comparing the estimated capacity and the temporal characteristic with these obtained from measurement. The results show that our model is capable of capturing the essential characteristics of a temporally correlated multipath MIMO radio channel. Keywords -MIMO, indoor measurement, spatial-temporal correlation, stochastic model 1. INTRODUCTION Multiple-input multiple-output (MIMO) systems have appeared as a new method for high capacity in wireless communication. In order to be able to evaluate the algorithm/airinterface performance at higher layer of the MIMO system, we need a model to establish the behavior of channel propagation and antennas. Although numerous channel models have been proposed for the MIMO radio channel, most of them only concentrated on the spatial domain to highlight the potential of MIMO system in providing high data rate without requiring extra bandwidth and power. The temporal variation of the channel is often ignored in these models. However, in order to make a full use of the diversity gain the channel coefficients must be appropriately known at least at the receiver. Not being able to update the channel coefficient timely could lead to system performance degradation. Because of its importance, a number of works has been devoted to the study of the temporal variation of the MIMO radlo channel characteristic. Analysis on the variation in time of the measured MIMO radio channel may be found in (e.g