Compact Spatial Correlation Formula for MIMO in Factory Environment

Main Article Content

KY Leng
Kei Sakaguchi
Kiyomichi Araki

Abstract

Multiple-Input Multiple-Output (MIMO) transmission scheme is considered as a promised technology for future wireless communication since it offers significant increases in data throughput and link range without additional bandwidth or transmitted power. However, the MIMO channel capacity is severely degraded by the correlation between individual sub channels of its channel matrix. Hence, in system simulations, the correlation should be taken into account. Since the conventional method such as the extended one ring and double ring scatterers model require the knowledge of each multipath components, it is obvious that a simpler model, but accurate enough, should be proposed to reduce the complexity and the calculation time of the model. In this paper, we propose a compact spatial correlation formula that can be used to calculate the channel capacity of MIMO system in 950 MHz band at factory environment. The validity of the proposed model also holds for other environments and frequency bands. With the proposed model, we need to know only three important parameters, such as antenna size, antenna separation, and Rician K factor to generate the spatial correlation of the channel.

Article Details

How to Cite
Leng, K., Sakaguchi, K., & Araki, K. (2009). Compact Spatial Correlation Formula for MIMO in Factory Environment. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 8(2), 224–231. https://doi.org/10.37936/ecti-eec.201082.172106
Section
Research Article

References

[1] D. S. Baum, J. Hansen, J. Salo, and P. KyÄosti, "An Interim Channel Model for Beyond-3G Systems: Extending the 3GPP Spatial Channel Model (SCM)," Vehicular Technology Conference, VTC-2005, IEEE 61st, Vol. 5, pp. 3132-3136, May-Jun. 2005.

[2] J. M. Molina-Garcia-Pardo, A. Martinez-Sala, M. V. Bueno-Delgado, E. Egea-Lopez, L. Juan Llacer, and J. Garcµ³a-Haro, "Channel Model at 868 MHz for Wireless Sensor Networks in Outdoor Scenarios," International Workshop on Wireless Ad-hoc Networks, IWWAN2005, May 2005.

[3] K. Mizutani, K. Sakaguchi, Jun-ichi Takada, and K. Araki, "Development of MIMO-SDR Platform and its Application to Real-Time Channel Measurements," IEICE Trans. Commun., Vol. E89-B, pp. 3197-3207, Dec. 2006.

[4] A. Giorgetti, M. Chiani, M. Shafi, and P. J. Smith, "Characterizing MIMO Capacity Under the In°uence of Spatial/Temporal Correlation," Australian Communication Theory Workshop Proceeding, AusCTW03, 2003.

[5] Li-Chun Wang, and Yun-Huai Cheng, "Modelling and Capacity Analysis of MIMO Rician Fading Channels for Mobile-to-Mobile Communications," Vehicular Technology Conference, VTC-2005, IEEE 62nd, Vol. 2, pp. 1279-1283, Sept. 2005.

[6] S. Loyka, and G. Tsoulos, "Estimating MIMO System Performance Using the Correlation Matrix Approach," Communications Letters, IEEE, Vol. 6, pp. 19-21, Jan. 2002.

[7] K. Leng, K. Sakaguchi, and K. Araki, "Pathloss model for factory environment," ISMAC Conference, Bangkok, Thailand, Jan. 2009.

[8] T. D. Abhayapala, R. A. Kenney, and J. T. Y. Ho, "On capacity of multi-antenna wireless channels: Effects of antenna separation and spatial correlation," Proc. 3rd AusCTW, 2002.

[9] C. Oestges, "Validity of the Kronecker Model for MIMO Correlated Channels," Vehicular Technology Conference, VTC 2006, IEEE 63rd, Vol. 6, pp. 2818-2822, May 2006.

[10] Min-Goo Choi, Sung ho Chae, Byung-Tae Yun and S. O. Park, "Validity of Kronecker model at 3.805GHz Indoor measurement 4 by 4 MIMO system," IEEE Antenna and Propagation Symposium 2008, San Diego, America, July 5-12, 2008.

[11] http://en.wikipedia.org/wiki/Hata_Model_for_Urban_Area

[12] "Spatial channel model for Multiple Input Multiple Output (MIMO) simulations (Release 6)," http://www.3gpp.org

[13] S. Loyka, and A. Kouki, "On the use of Jensen's inequality for MIMO channel capacity estimation," Canadian Conf. on Electrical and Computer Engineering (CCECE 2001), pp. 475-480, Toronto, Canada, May 13-16, 2001.

[14] T. M. Cover, and J. A. Thomas, "Elements of Information Theory," John Wiley & Sons, New York, 1991.

[15] S. G. C. Fraiha, J. C. Rodrigues, R. N. S. Barbosa, H. S. Gomes, and G. P. S. Cavalcante, "An Empirical Model for Propagation-Loss Prediction in Indoor Mobile Communications Using The Pade Approximant," Microwave and Optoelectronics, 2005 SBMO/IEEE MTT-S International Conference, pp. 625-628, Jul. 2005.

[16] X. Gao, J. Zhang, G. Liu, D. Xu, P. Zhang, Y. Lu, and W. Dong, "Large-scale Characteristics of 5.25 GHz Based on Wideband MIMO Channel Measurements," Antennas and Wireless Propagation Letters, IEEE, vol. 6, pp. 263-266, Dec. 2007.