On the Capacity of Densely Packed Arrays with Mutual Coupling and Correlated Noise

International Journal of Antennas and Propagation. 2015;2015 DOI 10.1155/2015/143759


Journal Homepage

Journal Title: International Journal of Antennas and Propagation

ISSN: 1687-5869 (Print); 1687-5877 (Online)

Publisher: Hindawi Limited

LCC Subject Category: Technology: Electrical engineering. Electronics. Nuclear engineering | Social Sciences: Transportation and communications: Cellular telephone services industry. Wireless telephone industry

Country of publisher: United Kingdom

Language of fulltext: English

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Vahid Dehghanian (Electrical and Computer Engineering Department, University of Calgary, Calgary, AB, T2N 1N4, Canada)
John Nielsen (Electrical and Computer Engineering Department, University of Calgary, Calgary, AB, T2N 1N4, Canada)


Blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 24 weeks


Abstract | Full Text

Capacity of a wireless link can be enhanced by increasing the number of receive antennas. However, imposed receiver physical size constraints necessitate that the antenna elements be in close proximity, which typically reduces the overall link capacity of the wireless channel. Counterintuitively, under certain conditions the capacity of the overall link can be enhanced by decreasing antenna spacings. The focus of this paper is that of identifying the fundamental mechanisms and the conditions that give rise to this excess capacity. Closed-form expressions that directly quantify this capacity gain are derived based on a representative circuit theoretic model. Interesting insights are developed about the impact of different noise and interference sources and the limiting effect of heat losses in the antenna system. The capacity analysis is subsequently generalized to encompass the effect of antenna current deformation and load mismatch due to mutual coupling, based on the standard Method of Moments (MoM) analysis, demonstrating similar capacity enhancement behavior as predicted by the closed-form expressions.