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  • Research Article
  • Open Access

Inter- and Intrasite Correlations of Large-Scale Parameters from Macrocellular Measurements at 1800 MHz

  • Niklas Jaldén1Email author,
  • Per Zetterberg1,
  • Björn Ottersten1 and
  • Laura Garcia1
EURASIP Journal on Wireless Communications and Networking20072007:025757

Received: 15 November 2006

Accepted: 31 July 2007

Published: 15 November 2007


The inter- and intrasite correlation properties of shadow fading and power-weighted angle spread at both the mobile station and the base station are studied utilizing narrowband multisite MIMO measurements in the 1800 MHz band. The influence of the distance between two base stations on the correlation is studied in an urban environment. Measurements have been conducted for two different situations: widely separated as well as closely located base stations. Novel results regarding the correlation of the power-weighted angle spread between base station sites with different separations are presented. Furthermore, the measurements and analysis presented herein confirm the autocorrelation and cross-correlation properties of the shadow fading and the angle spread that have been observed in previous studies.


Information SystemAutocorrelationSystem ApplicationUrban EnvironmentStation Site


Authors’ Affiliations

ACCES Linnaeus Center, KTH Signal Processing Lab, Royal Institute of Technology, Stockholm, Sweden


  1. Foschini G, Gans MJ: On limits of wireless communications in a fading environmen when using multiple antennas. Wireless Personal Communications 1998,6(3):311-335. 10.1023/A:1008889222784View ArticleGoogle Scholar
  2. Telatar IE: Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications 1999,10(6):585-595. 10.1002/ett.4460100604View ArticleGoogle Scholar
  3. Baum DS, El-Sallabi H, Jämsä T, et al.: IST-WINNER D5.4, final report on link and system level channel models. 2005. Scholar
  4. Chizhik D, Ling J, Wolniansky P, Valenzuela R, Costa N, Huber K: Multiple-input-multiple-output measurements and modeling in manhattan. IEEE Journal on Selected Areas in Communication 2003,21(3):321-331. 10.1109/JSAC.2003.809457View ArticleGoogle Scholar
  5. Eiceg V, Sampath H, Catreux-Erceg S: Dual-polarization versus single-polarization MIMO channel measurement results and modeling. IEEE Transactions on Wireless Communications 2006,5(1):28-33.View ArticleGoogle Scholar
  6. Kyritsi P, Cox DC, Valenzuela RA, Wolniansky PW: Correlation analysis based on MIMO channel measurements in an indoor environment. IEEE Journal on Selected Areas in Communications 2003,21(5):713-720. 10.1109/JSAC.2003.810299View ArticleGoogle Scholar
  7. Steinbauer M, Molisch AF, Bonek E: The double-directional radio channel. IEEE Antennas and Propagation Magazine 2001,43(4):51-63. 10.1109/74.951559View ArticleGoogle Scholar
  8. Stridh R, Yu K, Ottersten B, Karlsson P: MIMO channel capacity and modeling issues on a measured Indoor radio channel at 5.8 GHz. IEEE Transactions on Wireless Communications 2005,4(3):895-903.View ArticleGoogle Scholar
  9. Wallace J, Jensen M: Time-varying MIMO channels: measurement, analysis, and modeling. IEEE Transactions on Antennas and Propagation 2006,54(11 ,part 1):3265-3273.View ArticleGoogle Scholar
  10. 3GPP-SCM : Spatial channel model for multiple input multiple output (MIMO) simulations. 2003. TR.25.966 v.6.10,
  11. Gudmundson M: Correlation model for shadow fading in mobile radio systems. IEEE Electronics Letters 1991,27(23):2145-2146. 10.1049/el:19911328View ArticleGoogle Scholar
  12. Algans A, Pedersen KI, Mogensen EP: Experimental analysis of the joint statistical properties of azimuth spread, delay spread, and shadow fading. IEEE Journal on Selected Areas in Communications 2002,20(3):523-531. 10.1109/49.995511View ArticleGoogle Scholar
  13. Graziano V: Propagation correlation at 900MHz. IEEE Transactions on Vehicular Technology 1978,27(4):182-189.View ArticleGoogle Scholar
  14. Weitzen J, Lowe TJ: Measurement of angular and distance correlation properties of log-normal shadowing at 1900 MHz and its application to design of PCS systems. IEEE Transactions on Vehicular Technology 2002,51(2):265-273. 10.1109/25.994804View ArticleGoogle Scholar
  15. Mawira A: Models for the spatial correlation functions of the (log)-normal component of the variability of VHF/UHF field strength in urban environment. Proceedings of the 3rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '92), October 1992, Boston, Mass, USA 436-440.Google Scholar
  16. Zayana K, Guisnet B: Measurements and modelisation of shadowing cross-correlationsbetween two base-stations. IEEE International Conference on Universal Personal Communications (ICUPC '98), October 1998, Florence, Italy 1: 101-105.Google Scholar
  17. Perahia E, Cox DC, Ho S: Shadow fading cross correlation between basestations. The 53rd IEEE Vehicular Technology Conference (VTC '01), May 2001, Rhodes, Greece 1: 313-317.View ArticleGoogle Scholar
  18. Arnold HW, Cox DC, Murray RR: Macroscopic diversity performance measured in the 800-MHz portable radio communications environment. IEEE Transactions on Antennas and Propagation 1988,36(2):277-281. 10.1109/8.1105View ArticleGoogle Scholar
  19. Klingenbrunn T, Mogensen P: Modelling cross-correlated shadowing in network simulations. The 50th Vehicular Technology Conference (VTC '99), September 1999, Amsterdam, The Netherlands 3: 1407-1411.Google Scholar
  20. Jaldén N, Zetterberg P, Bengtsson M, Ottersten B: Analysis of multi-cell MIMO measurements in an urban macrocell environment. General Assembly of International Union of Radio Science (URSI '05), October 2005, New Delhi, IndiaGoogle Scholar
  21. Garcia L, Jaldén N, Lindmark B, Zetterberg P, Haro LD: Measurements of MIMO capacity at 1800MHz with in- and outdoor transmitter locations. Proceedings of the European Conference on Antennas and Propagation (EuCAP '06), November 2006, Nice, FranceGoogle Scholar
  22. Garcia L, Jaldin N, Lindmark B, Zetterberg P, Haro LD: Measurements of MIMO indoor channels at 1800MHz with multiple indoor and outdoor base stations. EURASIP Journal on Wireless Communication and Networking 2007, 2007: 10 pages.View ArticleGoogle Scholar
  23. Zetterberg P: WIreless DEvelopment LABoratory (WIDELAB) equipment base. 2003. Signal Sensors and Systems (KTH), iR-SB-IR-0316,Google Scholar
  25. Zetterberg P, Jaldén N, Yu K, Bengtsson M: Analysis of MIMO multi-cell correlations and other propagation issues based on urban measurements. Proceedings of the 14th IST Mobile and Wireless Communications Summit, June 2005, Dresden, GermanyGoogle Scholar
  26. Rappaport T: Wireless Communications: Principles and Practice. Prentice-Hall, Upper Saddle River, NJ, USA; 1996.MATHGoogle Scholar
  27. Trump T, Ottersten B: Estimation of nominal direction of arrival and angular spread using an array of sensors. Signal Processing 1996,50(1-2):57-69. 10.1016/0165-1684(96)00003-5MATHView ArticleGoogle Scholar
  28. Bengtsson M, Ottersten B: Low-complexity estimators for distributed sources. IEEE Transactions on Signal Processing 2000,48(8):2185-2194. 10.1109/78.851999View ArticleGoogle Scholar
  29. Tapio M: Direction and spread estimation of spatially distributed signals via the power azimuth spectrum. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02), May 2002, Orlando, Fla, USA 3: 3005-3008.Google Scholar
  30. Pedersen KI, Mogensen PE, Fleury BH: A stochastic model of the temporal and azimuthal dispersion seen at the base station in outdoor propagation environments. IEEE Transactions on Vehicular Technology 2000,49(2):437-447. 10.1109/25.832975View ArticleGoogle Scholar
  31. Jaldén N: Analysis of radio channel measurements using multiple base stations, Licenciate Thesis.Google Scholar


© Niklas Jaldén et al. 2007

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.