Measurement-Based Performance Evaluation of MIMO Spatial Multiplexing in a Multipath-Rich Indoor Environment

Multiple-input multiple-output (MIMO) spatial multiplexing that needs to separate and detect transmitted signal streams by using processing at the receiver end can increase the data rates of transmissions on independent and identically distributed (i.i.d.) channels. Such channels have been considered to exist in nonline-of-sight (NLOS) environments. However, actual communications may also be conducted in line-of-sight (LOS) environments. While an LOS component can increase the received power level, it may also cause correlated channels that make it difficult to detect the transmitted streams. In this paper, we describe the performance of 4 times 4 MIMO spatial multiplexing based on LOS and NLOS channel measurements in an indoor environment. For eight configurations of uniform linear arrays (four antenna spacings and two array orientations), we evaluated the cumulative distribution function (CDF) of the channel capacity and bit error rate performance versus transmit power, and we analyzed them in terms of antenna pattern, fading correlation, CDFs of MIMO channel elements, and CDFs of eigenvalues. Results show that, despite higher fading correlations and non i.i.d. channel characteristics, the performance of MIMO spatial multiplexing in the LOS environment is better than that in the NLOS one. However, the performance in the measured LOS environment largely depends on the MIMO configuration.

[1]  M.A. Jensen,et al.  A review of antennas and propagation for MIMO wireless communications , 2004, IEEE Transactions on Antennas and Propagation.

[2]  M.E. Bialkowski,et al.  Improving MIMO system capacity by compensating mutual coupling in transmitting/receiving array antennas , 2004, IEEE Antennas and Propagation Society Symposium, 2004..

[3]  H. Steyskal,et al.  Mutual coupling compensation in small array antennas , 1990 .

[4]  A. Nix,et al.  Mutual coupling in multi-element array antennas and its influence on MIMO channel capacity , 2003 .

[5]  Yasutaka Ogawa,et al.  Optimal Antenna Matching and Mutual Coupling Effect of Antenna Array in MIMO Receiver , 2007, IEICE Trans. Commun..

[6]  Kei Sakaguchi,et al.  Indoor MIMO channel measurements for evaluation of effectiveness of array antenna configurations , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

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

[8]  Jon W. Wallace,et al.  On signal strength and multipath richness in multi-input multi-output systems , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[9]  Rohit U. Nabar,et al.  Introduction to Space-Time Wireless Communications , 2003 .

[10]  H. Nishimoto,et al.  Performance of MIMO spatial multiplexing in indoor line-of-sight environments , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[11]  Donald C. Cox,et al.  Correlation analysis based on MIMO channel measurements in an indoor environment , 2003, IEEE J. Sel. Areas Commun..

[12]  Ernst Bonek,et al.  Capacity of different MIMO systems based on indoor measurements at 5.2 GHz , 2003 .

[13]  Reinaldo A. Valenzuela,et al.  Simplified processing for high spectral efficiency wireless communication employing multi-element arrays , 1999, IEEE J. Sel. Areas Commun..

[14]  C. Waldschmidt,et al.  Compact wide-band multimode antennas for MIMO and diversity , 2004, IEEE Transactions on Antennas and Propagation.

[15]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[16]  Constantinos B. Papadias,et al.  Analysis and performance of some basic space-time architectures , 2003, IEEE J. Sel. Areas Commun..

[17]  Mark A Beach,et al.  Capacity variation of indoor multiple-input multiple-output channels , 2000 .

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

[19]  Reiner S. Thomä,et al.  Capacity of MIMO systems based on measured wireless channels , 2002, IEEE J. Sel. Areas Commun..

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

[21]  I. Gupta,et al.  Effect of mutual coupling on the performance of adaptive arrays , 1983 .

[22]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[23]  H. Nishimoto,et al.  Performance of 2/spl times/2 MIMO spatial multiplexing in indoor environments , 2005, IEEE/ACES International Conference on Wireless Communications and Applied Computational Electromagnetics, 2005..

[24]  Björn E. Ottersten,et al.  Modeling of wide-band MIMO radio channels based on NLoS indoor measurements , 2004, IEEE Transactions on Vehicular Technology.

[25]  David Gesbert,et al.  From theory to practice: an overview of MIMO space-time coded wireless systems , 2003, IEEE J. Sel. Areas Commun..

[26]  Mary Ann Ingram,et al.  Spherical-wave model for short-range MIMO , 2005, IEEE Transactions on Communications.

[27]  Joseph M. Kahn,et al.  Fading correlation and its effect on the capacity of multielement antenna systems , 2000, IEEE Trans. Commun..