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Sub‐linear capacity scaling for multi‐path channel models
Authors:F Bentosela  E Soccorsi
Institution:Laboratoire affilié à la FRUMAM, Centre de Physique Théorique de Marseille UMR 6207, Unité Mixte de Recherche du CNRS et des Universités Aix‐Marseille I, Aix‐Marseille II et de l'Université du Sud Toulon‐Var, CNRS‐Luminy, Case 907, 13288 Marseille, France
Abstract:The theoretic capacity of a communication system constituted of several transmitting/receiving elements is determined by the singular values of its transfer matrix. Results based on an independent identically distributed channel model, representing an idealized rich propagation environment, state that the capacity is directly proportional to the number of antennas. Nevertheless there is growing experimental evidence that the capacity gain can be at best scaled at a sub‐linear rate with the system size. In this paper, we show under appropriate assumptions on the transfer matrix of the system that the theoretic information‐capacity of multi‐antenna systems is upper bounded by a sub‐linear function of the number of transmitting/receiving links. Copyright © 2009 John Wiley & Sons, Ltd.
Keywords:information capacity  channel model  transfer matrix  singular value  spectral counting function
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