| R. R. Muller and S. Verdu, "Design and analysis of lowcomplexity interference mitigation on vector channels," IEEE Journal on Selected Areas in Communications, vol. 19, no. 8, pp. 1429--1441, August 2001. |
....in (28) are the generalized Catalan numbers, see e.g. 15] for a tutorial on their properties, and are known to appear in many different problems in combinatorics. Explicit expressions for the moments are particularly useful for the design and analysis of polynomial expansion equalizers, cf. [16, 17]. Note from the definition of the Stieltjes transform (11) that 1=G C 0 N (0) is the harmonic mean of the eigenvalues of C 0 N . It can be calculated explicitly with (23) and reads 1=G C 0 N (0) N Y n=1 max f1 n ; 0g : 29) As the number of factors in the product increases, the ....
Ralf R. Muller and Sergio Verdu. Design and analysis of low--complexity interference mitigation on vector channels. IEEE Journal on Selected Areas in Communications, 19(8):1429--1441, August 2001.
....DATA Laura Cottatellucci, Ralf R. M uller ABSTRACT Polynomial expansion detectors introduced in [1] combined with recent results in random matrix theory were found to be powerful low complexity tools to mitigate interference on multiple input multiple output (MIMO) communication channels [2]. The random matrix model of communication via antenna arrays proposed in [3] characterizes the channel in terms of its asymptotic eigenvalue distribution by a single parameter. Reference [4] generalises the polynomial expansion in [2] to multiple input multiple output(MIMO) communication channels ....
....on multiple input multiple output (MIMO) communication channels [2] The random matrix model of communication via antenna arrays proposed in [3] characterizes the channel in terms of its asymptotic eigenvalue distribution by a single parameter. Reference [4] generalises the polynomial expansion in [2] to multiple input multiple output(MIMO) communication channels promising very good performance at complexity per bit that grows only linearly with the number of antennas. The reliability of the results reported in [4] strongly depends on the accuracy of the used asymptotic random matrix model to ....
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R. R. Muller and S. Verdu, "Design and analysis of low-complexity interference mitigation on vector channels," IEEE Journal on Selected Areas in Communications, vol. 19, no. 8, pp. 1429--1441, August 2001.
.... of length N while keeping the system load # = i.e. the number of physical users K per chip, fixed [1, 2, 3] Secondly, the demand of detectors able to e#ciently mitigate crosstalk for large scale systems has led to the analysis of reduced rank detectors, especially multistage detectors [4, 5, 6, 7]. As shown in [5, 6] for this class of detectors, a low number of stages is su#cient for near LMMSE (linear minimummean square error) performance, even as system size grows large. The practical usefulness of this class of detectors derives from the drastic reduction in complexity that can be ....
....of stages is su#cient for near LMMSE (linear minimummean square error) performance, even as system size grows large. The practical usefulness of this class of detectors derives from the drastic reduction in complexity that can be achieved by approximating optimum weighting by asymptotic weighting [7], at the cost of a slight degradation in performance [8] Several di#erent criteria for weight optimization have been proposed and their asymptotic performance has been analyzed in the case of equal received powers. However, asymptotic weighting is unknown for unequal received powers and ....
[Article contains additional citation context not shown here]
R. R. Muller and S. Verdu, "Design and analysis of lowcomplexity interference mitigation on vector channels," IEEE Journal on Selected Areas in Communications, vol. 19, no. 8, pp. 1429--1441, August 2001.
....was found to have no effect for asymptotically large arrays. The analytic characterization of the eigenvalues distribution is not only limited to calculation of performance measures. It can also be used to successfully generalize low complexity methods for interference mitigation such as [19] that were originally designed for CDMA to also work for communication via large antenna arrays, cf. 20] ACKNOWLEDGMENT The author would like to thank M. Toltsch, C. Mecklenbr auker, A. Molisch, E. Bonek, and H. Hofstetter. ....
Ralf R. Muller and Sergio Verdu, "Design and analysis of low-- complexity interference mitigation for CDMA," in COST 262 Workshop on Multiuser Detection in Spread Spectrum Communications, Ulm, Germany, Jan. 2001.
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