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Link to original content: https://doi.org/10.1007/s11277-009-9795-z
Capacity Enhancement Using MIMO Antenna Arrays in Realistic Macro-Cellular Urban Environment | Wireless Personal Communications Skip to main content
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Capacity Enhancement Using MIMO Antenna Arrays in Realistic Macro-Cellular Urban Environment

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Abstract

In MIMO systems the antenna array configuration in the BS and MS has a large influence on the available channel capacity. In this paper, we first introduce a new Frequency Selective (FS) MIMO framework for macro-cells in a realistic urban environment. The MIMO channel is built over a previously developed directional channel model, which considers the terrain and clutter information in the cluster, line-of-sight and link loss calculations. Next, MIMO configuration characteristics are investigated in order to maximize capacity, mainly the number of antennas, inter-antenna spacing and SNR impact. Channel and capacity simulation results are presented for the city of Lisbon, Portugal, using different antenna configurations. Two power allocations schemes are considered, uniform distribution and FS spatial water-filling. The results suggest optimized MIMO configurations, considering the antenna array size limitations, specially at the MS side.

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References

  1. Foschini G. J., Gans M. J. (1998) On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications 6: 311–335

    Article  Google Scholar 

  2. Telatar, E. (1995). Capacity of multiantenna gaussian channels. AT&T Bell Laboratories, Technical Memorandum.

  3. Cover T.M., Thomas J.A. (1991) Elements of information theory. Wiley, New York

    Book  MATH  Google Scholar 

  4. Vieira, P., & Queluz, M. P., Rodrigues, A. (2007). Terrain and clutter impact on joint statistical properties of azimuth spread and delay spread in macro-cell bad urban environment. In Proceedings of IEEE international symposium on wireless communication systems 2007 (pp. 798–802). Trondheim, Norway.

  5. Vieira, P., Queluz, M. P., & Rodrigues, A. (2007). Clustering of scatterers over an irregular clutter environment: An extension of cost 273 mimo channel model. In Proceedings of 66th IEEE vehicular technology conference fall 2007 (pp. 824–828). Baltimore, USA.

  6. Vieira, P., Queluz. M. P., & Rodrigues, A. (2007). A dynamic propagation prediction platform over irregular terrain and buildings for wireless communications. In Proceedings of 66th IEEE vehicular technology conference fall 2007 (pp. 884–888). Baltimore, USA.

  7. Vieira P., Vieira M. A., Queluz M. P., Rodrigues A. (2007) A novel vehicular mobility model for wireless networks. Wireless Personal Communications Journal, Springer 43: 1689–1703

    Article  Google Scholar 

  8. 3GPP. (2007). Spatial channel model for multiple input multiple output (mimo) simulations. 3GPP TR 25.996 V7.0.0.

  9. Andreas F.M. (2005) Wireless communications. Wiley, New York

    Google Scholar 

  10. Jakes W. C. (1993) Microwave mobile communications. IEEE Press, Piscataway, NJ

    Google Scholar 

  11. Vieira, P., Queluz, M. P., & Rodrigues, A. (2007). An improved directional channel model over irregular terrain and clutter. In Proceedings of 10th international symposium of wireless personal multimedia communications 2007 (pp. 523–527). Jaipur, India.

  12. Andersen J. B. (2000) Array gain and capacity for known random channels with multiple element arrays at both ends. IEEE JSAC 18(11): 2172–2178

    Google Scholar 

  13. Kermoal J. P., Schumacher L., Pederson K. I., Mogensen P. E. (2002) A stochastic mimo radio channel model with experimental validation. IEEE JSAC, Special Issue on Channel and Propagation Models for Wireless System Design 20(6): 1211–1226

    Google Scholar 

  14. Almers, P., Tufvesson, F., Edfors, O., & Molisch, A. F. (2002). Measured capacity gain using water filling in frequency selective mimo channels. In The 13th IEEE international symposium on personal, indoor and mobile radio communications, 2002, 3, 1347–1351.

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Correspondence to Pedro Vieira.

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Vieira, P., Queluz, P. & Rodrigues, A. Capacity Enhancement Using MIMO Antenna Arrays in Realistic Macro-Cellular Urban Environment. Wireless Pers Commun 55, 201–224 (2010). https://doi.org/10.1007/s11277-009-9795-z

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