Mutual coupling effects on the channel capacity and the space-time processing of MIMO communication systems

Clerckx, Bruno; Vanhoenacker‐Janvier, Danielle; Oestges, Claude; Vandendorpe, Luc

doi:10.1109/icc.2003.1204425

Cited by 61 publications

(48 citation statements)

References 12 publications

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“…On the other hand, conflicting views arise on the impact of mutual coupling on capacity performance [13]- [20], with some papers claiming mutual coupling effects to be beneficial for capacity [13], while others either completely disagree [14], [18], [19], or indicate that its benefits apply only to selected cases (e.g. a range of antenna separations) [15], [16]. The discrepancy is largely due to different assumptions on the system setup, e.g.…”

Section: Review Of Array Impedance Matchingmentioning

confidence: 90%

“…There is no disagreement in the impact of mutual coupling on correlation or diversity gain [9]- [15] and radiation efficiency [11], [16]. On the other hand, conflicting views arise on the impact of mutual coupling on capacity performance [13]- [20], with some papers claiming mutual coupling effects to be beneficial for capacity [13], while others either completely disagree [14], [18], [19], or indicate that its benefits apply only to selected cases (e.g.…”

Section: Review Of Array Impedance Matchingmentioning

confidence: 96%

“…[12], [16], [20], [23]- [24]) and the more conventional Zparameter (e.g. [10], [11], [15], [18], [27]). While the Sparameter representation is more suited for representing microwave systems, the Z-parameter representation is simple and more intuitive.…”

Section: A Mimo System Modelmentioning

confidence: 99%

See 2 more Smart Citations

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Lau

Andersen

Molisch

et al. 2006

2006 3rd International Symposium on Wireless Communication Systems

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Abstract-As MIMO technology slowly matures, it is finding its way into more wireless applications. However, some important applications, including mobile communications, require compact implementations. One important challenge in miniaturizing MIMO systems for compact terminals is to overcome capacity performance degradation resulting from mutual coupling among closely separated antennas. In this contribution, we begin with a review of the state-of-the-art, with particular emphasis on impedance matching and its impact on capacity. Whereas it has been shown that a multiport extension of the conjugate match is optimum in a reference environment with uniform 3D angular power spectrum, its bandwidth is severely reduced by decreasing antenna separation. On the other hand, noncoupled, individual port matching is inherently simpler to implement and broader in bandwidth, but offers a smaller capacity. Here, we demonstrate that mean capacity can be easily maximized with respect to individual port matching in a given random field. The extent of capacity gains provided by the optimized matching network over existing individual port matching networks strongly depends on the propagation environment.

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Section: Review Of Array Impedance Matchingmentioning

confidence: 90%

Section: Review Of Array Impedance Matchingmentioning

confidence: 96%

See 1 more Smart Citation

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Lau

Andersen

Molisch

et al. 2006

2006 3rd International Symposium on Wireless Communication Systems

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“…n is a noise vector, the element n i is the noise into the receiver via the ith receiving antenna, whose mean is 0 and variance is σ 2 n i . It is well known that the mutual coupling effect between antennas of a MIMO communication system impacts its performances [2][3][4][5][6]. If the factor of the mutual coupling effect is taken into account, (1) should be rewritten as (2).…”

Section: Mechanism and Measurement Of The Simce In Mmw Mimo Communicamentioning

confidence: 99%

“…H C represents the channel matrix, in which the mutual coupling effect has been taken into account [2][3][4][5][6]. The mutual coupling coefficient matrix of either the transmitting end or the receiving end is closely related to its mutual impedance matrix [2][3][4][5][6].…”

Section: Mechanism and Measurement Of The Simce In Mmw Mimo Communicamentioning

confidence: 99%

On the Rain-Induced Mutual Coupling Effect of Multiple-Input Multiple-Output Communication Systems at Millimeter Wave Band

Gong¹,

Wang²,

Yan³

2015

PIER M

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Abstract-The concept of Scattering-Induced Mutual Coupling Effect (SIMCE) is proposed, and the mechanism of producing this phenomenon in Multiple-Input Multiple-Output (MIMO) communication systems at MilliMeter Wave (MMW) band is demonstrated. The model of estimating the scatteringinduced mutual impedance in rain environment is derived, and the characteristics of Rain-Induced Scattering Mutual Impedance (RISMI) are discussed taking parabolic antennas as an example. The model of estimating the rain-induced mutual impedance is helpful for investigating the SIMCE in other discrete random media. And, the results given in this paper are significant for developing MMW MIMO communication systems.

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MIMO Wireless Channel Modeling and Experimental Characterization

Jensen

Wallace

2005

Space‐Time Processing for MIMO Communications

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Mutual coupling effects on the channel capacity and the space-time processing of MIMO communication systems

Cited by 61 publications

References 12 publications

Antenna Matching for Capacity Maximization in Compact MIMO Systems

Antenna Matching for Capacity Maximization in Compact MIMO Systems

On the Rain-Induced Mutual Coupling Effect of Multiple-Input Multiple-Output Communication Systems at Millimeter Wave Band

MIMO Wireless Channel Modeling and Experimental Characterization

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