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Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Random Matrices and the Impact of Imperfect Channel Knowledge on Cooperative Base Stations
 Institute of Electrical and Electronics Engineers IEEE: IEEE 14th Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2013 : Darmstadt, Germany, 16  19 June 2013 Piscataway, NJ: IEEE, 2013 ISBN: 9781467355766 (print) ISBN: 9781467355773 (online) S.480484 
 Workshop on Signal Processing Advances in Wireless Communications (SPAWC) <14, 2013, Darmstadt> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer HHI () 
Abstract
Base station cooperation is a very promising technique for reducing intercell interference and enhancing spectral efficiency in next generation cellular systems. However, imperfect precoding at the base stations is limiting the potential gains. In this paper, we present a downlink signal model with impaired zeroforcing precoding and analyze selfuser signal and interuser interference. Properties of Wishartdistributed random matrices are used for calculating the average inverse eigenvalues. We provide closedform expressions for signal to interference ratio (SIR) bounds, which are found inversely proportional to the mean square error of the base station's channel knowledge. Further, it is found that the SIR increases with the ratio of number of base stations to number of users. Numerical evaluation agrees with analytical results.