Deterministic and Statistical-Based Channel Models in the MIMO Link Evaluation

This letter studies the performance of a multiple-input-multiple-output (MIMO) link in a macrocell environment, with emphasis on the effects of the antenna parameters as applied in different channel models. Two types of channel models are used in this evaluation. The first is a deterministic electromagnetic-based channel model that physically describes the antennas within the channel environment, capturing their detailed effects on the link performance. The second is a standardized statistical-based model where the 3GPP spatial channel model (SCM) is investigated. The antenna effects in this channel are roughly included through the radiation patterns of isolated dipoles. The differences between the channel model types as applied to the antenna parameters are discussed. Our analyses show that understanding the assumptions made in the different channel models is important in the evaluation of a system, especially in multiple-antenna systems.

[1]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[2]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[3]  Outi Kivekäs,et al.  Angular power distribution and mean effective gain of mobile antenna in different propagation environments , 2002, IEEE Trans. Veh. Technol..

[4]  Michael A. Jensen,et al.  Mutual coupling in MIMO wireless systems: a rigorous network theory analysis , 2004, IEEE Transactions on Wireless Communications.

[5]  Thomas Svantesson,et al.  Mutual coupling effects on the capacity of multielement antenna systems , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[6]  Oliver Stabler,et al.  Comparison of MIMO Channel Characteristics Computed by 3D Ray Tracing and Statistical Models , 2007 .

[7]  Ignacio Santamaría,et al.  Capacity estimation of polarization-diversity MIMO systems in urban microcellular environments , 2004, 2004 IEEE 15th International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE Cat. No.04TH8754).

[8]  Wen Geyi,et al.  Analysis of a MIMO Outdoor Channel With Hybrid EM-Based Modeling , 2007, IEEE Antennas and Wireless Propagation Letters.

[9]  Helmut Bölcskei,et al.  An overview of MIMO communications - a key to gigabit wireless , 2004, Proceedings of the IEEE.