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Asymptotic eigenvalue distributions and capacity for MIMO channels under correlated fading
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.ORCID iD: 0000-0003-2298-6774
2004 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 3, no 4, 1350-1359 p.Article in journal (Refereed) Published
Abstract [en]

Closed form approximations of the outage capacity and the mutual information between the in- and outputs of a multi-input, multi-output (MIMO) narrowband system in the presence of correlated fading are considered. First, the limiting distribution of the squared singular values of the channel matrix is derived as the number of antennas at either the transmit or receive site increases. Spatial correlation is allowed according to a realistic stochastic channel model and correlation is allowed between the transmitted signals. The derived limiting distribution has the advantage of being closed form while simulations indicate that it provides a reasonable approximation of the true distribution also for realistic antenna array sizes. Second, the channel outage capacity is derived from the limiting distribution above for the case when the number of transmit antennas is large. The resulting outage capacity has a simple form and allows for spatially correlated channel elements as well as correlation among the transmitted signals. Results from simulations and channel measurements are presented that indicate that the derived expression provides an accurate approximation of the true channel outage capacity for a wide range of realistic system conditions.

Place, publisher, year, edition, pages
2004. Vol. 3, no 4, 1350-1359 p.
Keyword [en]
asymptotic analysis, channel capacity, correlated fading, eigenvalue distribution, multi-input, multi-output (MIMO), matrix, communication, systems
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-23569DOI: 10.1109/twc.2004.830856ISI: 000222624400034ScopusID: 2-s2.0-3142658962OAI: diva2:342267
QC 20100525 QC 20111103Available from: 2010-08-10 Created: 2010-08-10 Last updated: 2011-11-03Bibliographically approved

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