Cluster-based MIMO channel model parameters extracted from indoor time-variant measurements

GLOBECOM - IEEE Global Telecommunications Conference

Volumn , Issue , 2006, Pages

  Czink, Nicolai ^a,b   Bonek, Ernst ^a,b   Hentilä, Lassi ^c   Nuutinen, Jukka Pekka ^c   Ylitalo, Juha ^c,d  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b TELECOMMUNICATIONS RESEARCH CENTER VIENNA FTW   (Austria)

^c Elektrobit Corporation   (Finland)

^d UNIVERSITY OF OULU   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

MEASUREMENT THEORY; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; STOCHASTIC CONTROL SYSTEMS; USER INTERFACES;

INDOOR TIME VARIANT MEASUREMENTS; MEASUREMENT DATA; MIMO CHANNEL MODEL PARAMETERS; STOCHASTIC MIMO CHANNEL MODELS;

CHANNEL CAPACITY;

EID: 50949093852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2006.646     Document Type: Conference Paper

References (13)

1. Q. H. Spencer, B. D. Jeffs, M. A. Jensen, and A. L. Swindlehurst, "Modeling the statistical time and angle of arrival characteristics of an indoor multipath channel," IEEE Journal on Selected Areas in Communications, vol. 18, pp. 347 - 359, March 2000.
2. C.-C. Chong, C.-M. Tan, D. Laurenson, S. McLaughlin, M. Beach, and A. Nix, "A new statistical wideband spatio-temporal channel model for 5-GHz band WLAN systems," IEEE Journal on Selected Areas in Communications, vol. 21, no. 2, pp. 139 - 150, Feb. 2003.
3. K. Yu, Q. Li, D. Cheung, and C. Prettie, "On the tap and cluster angular spreads of indoor WLAN channels," in Proceedings of IEEE Vehicular Technology Conference Spring 2004, Milano, Italy, May 17-19, 2004.
4. K. Li, M. Ingram, and A. Van Nguyen, "Impact of clustering in statistical indoor propagation models on link capacity," IEEE Transactions on Communications, vol. 50, no. 4, pp. 521 - 523, April 2002.
5. L. Correia, Ed., Mobile Broadband Multimedia Networks. Academic Press, 2006.
6. J. Salo, J. Salmi, N. Czink, and P. Vainikainen, "Automatic clustering of nonstationary MIMO channel parameter estimates," in ICT'05, Cape Town, South Africa, May 2005, Cape Town, South Africa.
7. U. Maulik and S. Bandyopadhyay, "Performance evaluation of some clustering algorithms and validity indices," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1650-1654, Dec. 2002.
8. N. Czink, P. Cera, J. Salo, E. Bonek, J.-P. Nuutinen, and J. Ylitalo, "Automatic clustering of MIMO channel parameters using the multipath component distance measure," in WPMC'05, Aalborg, Denmark, 2005.
9. N. Czink and P. Cera, "A novel framework for clustering parametric MIMO channel data including MPC powers," in COST 273 Post-Project Meeting, Lisbon, Portugal, Nov. 2005, available at http://www.nt.tuwien.ac. at/staff/nicolai-czink/.
10. A. Richter, "Estimation of radio channel parameters: Models and algorithms," Ph.D. dissertation, Technische Universität Ilmenau, 2005.
11. N. Czink and G. Del Galdo, "Validating a novel automatic cluster tracking algorithm on synthetic IlmProp time-variant MIMO channels," in COST 273 Post-Project Meeting, Lisbon, Portugal, Nov. 2005, available at http://www.nt.tuwien.ac.at/staff/nicolai-czink/.
12. L. Hentilä, P. Kyösti, J. Ylitalo, X. Zhao, J. Meinilä, and J.-P. Nuutinen, "Experimental characterization of multi-dimensional parameters at 2.45 and 5.25 GHz indoor channels," in WPMC2005, Aalborg, Denmark, September 2005, see also http://www.propsim.com/.
13. B. Fleury, P. Jourdan, and A. Stucki, "High-resolution channel parameter estimation for MIMO applications using the SAGE algorithm," in 2002 International Zurich Seminar on Broadband Communications, Zurich, Feb. 2002, pp. 30-1 - 30-9.