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Measurement-Based Stochastic Cross-Correlation Models of a Multilink Channel in Cooperative Communication Environments

  • Park, Jae-Joon (Advanced Communications Research Laboratory, ETRI) ;
  • Kim, Myung-Don (Advanced Communications Research Laboratory, ETRI) ;
  • Kwon, Heon-Kook (Advanced Communications Research Laboratory, ETRI) ;
  • Chung, Hyun Kyu (Advanced Communications Research Laboratory, ETRI) ;
  • Yin, Xuefeng (College of Electronics and Information Engineering, Tongji University) ;
  • Fu, Yaoyao (College of Electronics and Information Engineering, Tongji University)
  • Received : 2012.04.27
  • Accepted : 2012.10.01
  • Published : 2012.12.31

Abstract

In this paper, stochastic models for the cross-correlation of multiple channels are established based on measurement data collected using a wideband multiple-input multiple-output relay Band Exploration and Channel Sounder system at 3.7 GHz. We propose models for the cross-correlation characteristics of large-scale parameters (LSPs) between two links, that is, the base station and mobile station (MS) link and the relay station and MS link. The LSPs include shadow fading, Rician K-factor, delay spread, angle spread of arrival, and angle spread of departure. Furthermore, models are established for the cross-correlation of the small-scale fading in the impulse responses of two links. The statistics of these model parameters are investigated as functions of geometrical features of the multilink. They are extracted from a large amount of cross-correlation observations, which are obtained in three measurement sites along more than one hundred measurement routes. These models can be used together with the standard single-link channel models for the generation of correlated components, for example, path clusters, in two separate channels.

Keywords

References

  1. C.X. Wang et al., "Cooperative MIMO Channel Models: A Survey," IEEE Commun. Mag., vol. 48, no. 2, Feb. 2010, pp. 80-87.
  2. 3GPP, "Further Advancements for Evolved Universal Terrestrial Radio Access (EUTRA) Physical Layer Aspects (Release 9)," TR 36.814v9.0.0, 2009.
  3. 3GPP, "Evolved Universal Terrestrial Radio Access (EUTRA) and Evolved Universal Terrestrial Radio Access Network (EUTRAN); Overall Description; Stage 2," TR 36.300 v8.7.0, Dec. 2008.
  4. Q. Zuo et al., "Experimental Spatial Correlation Characteristics of Propagation Channels in Indoor Environments," Int. Conf. Wireless Commun. Signal Process. (WCSP), Oct. 2010.
  5. X. Zhou et al., "Experimental Investigation of Impact of Antenna Locations on the Capacity of Wideband Distributed Antenna Systems in Indoor Environments," European Conf. Antennas Propag. (EuCAP), Apr. 2011, pp. 1639-1643.
  6. 3GPP, "Spatial channel model for Multiple Input Multiple Output (MIMO) simulations," TR 25.996 v6.1.0, Sept. 2003.
  7. P. Kyosti et al., "WINNER II Channel Models," IST-WINNER II D1.1.2, Nov. 2007.
  8. ITU-R, "Guidelines for Evaluation of Radio Interface Technologies for IMT-Advanced," ITU-R Report M.2135, Oct. 2008.
  9. N. Jalden et al., "Inter- and Intrasite Correlation of Large-Scale Parameters from Macrocellular Measurements at 1800 MHz," EURASIP J. Wireless Commun. Netw., vol. 2007, July 2007, 25757. https://doi.org/10.1155/2007/25757
  10. E. Perahia, D.C. Cox, and S. Ho, "Shadow Fading Cross Correlation Between Basestations," Proc. IEEE VTC, Spring 2001, pp. 313-317.
  11. J. Weitzen and T.J. Lowe, "Measurement of Angular and Distance Correlation Properties of Log-Normal Shadowing at 1900 MHz and Its Application to Design of PCS Systems," IEEE Trans. Veh. Technol., vol. 51, no. 2, Mar. 2002, pp. 265-273. https://doi.org/10.1109/25.994804
  12. P. Agrawal and N. Patwari, "Correlated Link Shadow Fading in Multi-Hop Wireless Networks," IEEE Trans. Wireless Commun., vol. 8, no. 8, Aug. 2009, pp. 4024-4036. https://doi.org/10.1109/T-WC.2009.080207
  13. C. Oestges et al., "Experimental Characterization and Modeling of Outdoor-to-Indoor and Indoor-to-Indoor Distributed Channels," IEEE Trans. Veh. Technol., vol. 59, no. 5, June 2010, pp. 2253-2265. https://doi.org/10.1109/TVT.2010.2042475
  14. X. Yin et al., "Investigation of Large- and Small-Scale Fading Cross-correlation Using Propagation Graphs," IEEE Int. Symp. Antennas Propag. (ISAP), Oct. 2011.
  15. X. Yin et al., "Preliminary Study on Angular Small-Scale Cross-Correlation of Channels in NLOS Scenarios Using Propagation Graphs," Int. Workshop Broadband MIMO Channel Measurement Modeling (IWonCMM), May 2011.
  16. M.D. Kim et al., "Performance Evaluation of Wideband MIMO Relay Channel Sounder for 3.7 GHz," IEEE Asia Pacific Wireless Commun. Symp. (APWCS), Aug. 2011.
  17. W. Kim, J.J. Park, and H.J. Lee, "An Autocorrelation Model for Shadow Fading in Urban Macro Environments," IEEE ISAP, Oct. 2011.
  18. J.J. Park, M.D. Kim, and H.K. Chung, "Measured MIMO Channel Characteristics at 3.7 GHz in an Indoor Office Environment," IEEE APWCS, Aug. 2011.
  19. J.J. Park, H.K. Kwon, and H.K. Chung, "Indoor Office Wideband MIMO Channel Characteristics at 3.7 GHz," IEEE ISAP, Oct. 2011.
  20. B.H. Fleury et al., "Channel Parameter Estimation in Mobile Radio Environment Using the SAGE Algorithm," IEEE J. Sel. Areas Commun., vol. 17, no. 3, Mar. 1999, pp. 434-450. https://doi.org/10.1109/49.753729
  21. B.H. Fleury et al., "Performance of a High-Resolution Scheme for Joint Estimation of Delay and Bidirection Dispersion in the Radio Channel," VTC, May 2002.

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