Statistical Modelling of MIMO Communication Channels

Discusses a statistical channel model for multiple input multiple output (MIMO) digital communications (see references below).
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References:
[1] M.R. McKay and I.B. Collings, "General Capacity Bounds for Spatially Correlated Rician MIMO Channels'', IEEE Trans. Information Theory, Vol. 51, No. 9, pp. 3121-3145, September 2005.
[2] D. Asztély, “On Antenna Arrays in Mobile Communication Systems:
Fast Fading and GSM Base Station Receiver Algorithms,” Royal Inst.
Techonol., Stockholm, Sweden, Tech. Rep. IR-S3-SB-9611, 1996.
[3] H. Bölcskei and A. J. Paulraj, “Performance of space-time codes in the
presence of spatial fading correlation,” in Proc. Asilomar Conf. Signals,
Systems, and Computers, Pacific Grove, CA, Sep. 2000, pp. 687–693.
[4] H. Bölcskei, M. Borgmann, and A. J. Paulraj, “Impact of the propagation
environment on the performance of space-frequency coded MIMO-OFDM,”
IEEE J. Select. Areas Commun., vol. 21, no. 3, pp. 427–439,
Apr. 2003.
[5] D. Shiu, G. J. Foschini, M. J. Gans, and J. M. Kahn, “Fading correlation
and its effect on the capacity of multi element antenna systems,” IEEE
Trans. Commun., vol. 48, no. 3, pp. 502–513, Mar. 2000.
[6] C. Chuah, D. N. C. Tse, J. M. Kahn, and R. A. Valenzuela, “Capacity
scaling in MIMO wireless systems under correlated fading,” IEEE
Trans. Inf. Theory, vol. 48, no. 3, pp. 637–650, Mar. 2002.


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