Abstract
This work exploits the algorithm for the “rate-optimum beamformer” in spatially correlated MIMO Rician fading channels and proposes a probabilistic analysis for the “optimality of transmit beamforming condition”, (the necessary and sufficient condition when beamforming achieves ergodic capacity). The proposed analysis allows now for simulations to be performed in order to study the effects of the channel and system parameters on the optimality of transmit beamforming condition. Results demonstrate that the spatially correlated MIMO Rician fading channel model incorporates known characteristics from the corresponding spatially uncorrelated model, while they also reveal new and unique characteristics, not observed or discussed in the open literature previously: (a) the optimality condition is affected by the angle between the dominant eigenvector of the channel mean matrix and the dominant eigenvector of the channel covariance matrix, (b) the manner that the optimality condition is affected by the transmit antenna correlation varies with respect to the remaining channel distribution parameters.






Similar content being viewed by others
References
Vu, M., & Paulraj, A. (2007). On the Capacity of MIMO Wireless Channels with Dynamic CSIT. IEEE Journal on Selected Areas in Communications, 25(7), 1269–1283. Special Issue on Optimization of MIMO Transceivers for Realistic Communication Networks.
Goldsmith, A., Jafar, S. A., Jindal, N., & Vishwanath, S. (2003). Capacity limits of MIMO channels. IEEE Journal on Selected Areas in Communications, 21(5), 687–702.
Foschini, G. J., & Gans, M. J. (1998). On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications, 6(3), 311–335.
Telatar, E. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585–596.
Visotsky, E., & Madhow, U. (2001). Space-time transmit precoding with imperfect feedback. IEEE Transactions on Information Theory, 47(6), 2632–2639.
Jafar, S. A., & Goldsmith, A. (2004). Transmitter optimization and optimality of beamforming for multiple antenna systems with imperfect feedback. IEEE Transactions on Wireless Communications, 3(4), 1165–1175.
Jorswieck, E. A., & Boche, H. (2004). Channel capacity and capacity-range of beamforming in MIMO wireless systems under correlated fading with covariance feedback. IEEE Transactions on Wireless Communications, 3(5), 1543–1553.
Vu, M., & Paulraj, A. (2005). Capacity optimization for Rician correlated MIMO wireless channels. In Proceedings of the 39th Asilomar conference on Signals, Systems, and Computers (pp. 133-138).
Dumont, J., Hachem, W., Lasaulce, S., Loubaton, P., & Najim, J. (2010). On the capacity achieving covariance matrix for Rician MIMO Channels: An asymptotic approach. IEEE Transactions on Information Theory, 56(3), 1048–1069.
Kontaxis, D. E., Tsoulos, G. V., & Karaboyas, S. (2013). Ergodic capacity optimization for single-stream beamforming transmission in MISO Rician fading channels. IEEE Transactions on Vehicular Technology, 62(2), 628–641.
Kontaxis, D. E., Tsoulos, G. V., & Karaboyas, S. (2012). Beamforming capacity optimization for Rician MIMO wireless channels. IEEE Wireless Communications Letters, 1(3), 257–260.
Srinivasa, S., & Jafar, S. A. (2007). The optimality of transmit beamforming: A unified view. IEEE Transactions on Information Theory, 53(4), 1558–1567.
3GPP TR 25.996 V6.1.1 (2003-09).
Paulraj, A., Nabar, R., & Gore, D. (2003). Introduction to space-time wireles communications. Cambridge: Cambridge University Press.
Salz, J., & Winters, J. (1994). Effect of fading correlation on adaptive arrays in digital mobile radio. IEEE Transactions on Vehicular Technology, 43(4), 1049–1056.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Kontaxis, D.E., Tsoulos, G.V., Athanasiadou, G.E. et al. Optimality of Transmit Beamforming in Spatially Correlated MIMO Rician Fading Channels. Wireless Pers Commun 88, 371–384 (2016). https://doi.org/10.1007/s11277-015-3125-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-015-3125-4