Article Sidebar

Download
PDF
Statistic
Read Counter : 529 Download : 1614

Downloads

Download data is not yet available.

Main Article Content

Abstract

 In contrast to the rest of wireless communication technologies, multiple-input multiple-output (MIMO) technology enjoys different gain mechanisms that make it very attractive for reliable high data rate wireless communications. This paper presents a study on these gain mechanisms with particular emphasis on the case of high average received signal to noise ratio (SNR) where the MIMO system deployment is most promising. We write the MIMO channel capacity in terms of gains relative to a single- input single-output (SISO) wireless channel. Doing so, spatial multiplexing gain and power gain of MIMO wireless channels become more insightful. Based on this analysis a switching scheme between spatial multiplexing and transmit diversity is proposed. We support our discussion with numerical results which show that under a high data rate spatial multiplexing scheme the contribution of each gain mechanism to the total channel capacity depends on the channel Ricean factor, the average received SNR, and the MIMO system size. The proposed switching scheme gives about 2 dB gain in bit error rate performance relative to the spatial multiplexing mode.

 

Keywords

MIMO channel Gain mechanisms Channel capacity Spatial multiplexing gain Diversity gain Switching scheme

Article Details

How to Cite
Abouda, A. A., & Tarhuni, N. (2010). MIMO Channel Gain Mechanisms Relative to SISO Channel. The Journal of Engineering Research [TJER], 7(2), 40–47. https://doi.org/10.24200/tjer.vol7iss2pp40-47
Download Citation
Endnote/Zotero/Mendeley (RIS)
BibTeX

References

  1. Alamouti, S., 1998, "A Simple Transmitter Diversity Scheme for Wireless Communications," IEEE J. on Selected Areas in Commun., Vol. 16, pp. 1451- 1458.
  2. Andersen, J.B., 2000, "Array Gain and Capacity for Known Random Channels with Multiple Element Arrays at Both Ends," IEEE J. on Selected Areas in Commun., Vol. 18, pp. 2172-2178.
  3. Ball, C.F., Robert, M., Johann, L. and Hubert, W., 2009, "Performance Analysis of Closed and Open Loop MIMO in LTE," In proc. of the 15th European Wireless Conference, Aalborg, Denmark.
  4. Chae, C., Forenze, A., Heath, R.W. McKay, M.R. and Collings, I.B., 2010, "Adaptive MIMO Transmission Techniques for Broadband Wireless Communication Systems," IEEE Commun. Magazine, pp. 112-118.
  5. Choi, Y. and Alamouti, S., 2008. "A Pragmatic PHY Abstraction Technique for Link Adaption and MIMO Switching," IEEE J. on Selected Areas in Commun., Vol. 26, pp. 960-71.
  6. Forenza, A., McKay, M.R., Pandharipande, A., Heath, R.W. and Collings, I.B., 2007, "Adaptive MIMO Transmission for Exploiting the Capacity of Spatially Correlated Channels," IEEE Trans. on Veh. Tech., Vol. 56(2), pp. 619-630.
  7. Foschini, G.J. and Gans, M.J., 1998, "On Limits of Wireless Communications in a Fading Environment when using Multiple Antennas," Wireless Personal Commun., Vol. 6, pp. 311-335.
  8. Heath, R.W. and Paulraj, A.J., 2005, "Switching between Diversity and Multiplexing in MIMO Systems," IEEE Trans. on Commun., Vol. 53(6), pp. 962-968.
  9. McKay, M.R., Collings, I.B., Forenza, A. and Heath, R.W., 2007, "Multiplexing/Beamforming Switching for Coded MIMO in Spatially Correlated Channels Based on Closed-form BER Approximations," IEEE Trans. on Veh. Tech., Vol. 56(5), pp. 2555-2567.
  10. Telatar,I.E., 1999, "Capacity of Multi-antenna Gaussian Channels," European Trans. Tel., Vol. 10(6), pp. 585-595.
  11. Zheng, L. and Tse, T.N., 2003, "Diversity and Multiplexing: A Fundamental Tradeoff in Multiple-antenna Channels," IEEE Trans. on Inform. The., Vol. 49(5), pp. 1073-1096