Spatial Correlation and MIMO Capacity of Uniform Rectangular Dipole Arrays

Raj, J.S.K.; Arokiasamy, S.P.; Vikram, N.; Schoebel, Joerg

doi:10.1109/lawp.2008.919344

Cited by 18 publications

(6 citation statements)

References 7 publications

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“…where E tx,k and E rx,k are given as follows [31]: (28) respectively, where (21) and (24). Hence, we adopt the upper bound as the objective function of the PSO for performing the optimization process, i.e., we define…”

Section: The Objective Functionmentioning

confidence: 99%

“…On the other hand, the results of [20] have shown that about 90% of the energy was incident with elevation angle between 0 • and 40 • . Several reports have considered the impact of both AOA and elevation of arrival (EOA) on the characteristics of the SCF for several antenna array configurations like the electromagnetic vector sensor (EVS), ULA, UCA, and uniform rectangular array (URA) [21][22][23][24]37]. Nevertheless, a closedform expression of SCF for multiple antenna arrays with arbitrary three-dimensional (3-D) geometry is not available in the literature.…”

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confidence: 99%

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Spatial Correlation of Multiple Antenna Arrays in Wireless Communication Systems

Lee¹,

Cheng²

2012

PIER

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Abstract-This paper investigates the spatial correlation characteristics of multiple antenna arrays deployed in wireless communication systems. First, we derive a general closed-form formula for the spatial correlation function (SCF) of a multiple antenna array with arbitrary array configuration under uniform signal angular energy distribution. Based on this formula, we then explore the characteristics of the SCF for several multiple antenna arrays with different array geometries. It is found that a multiple antenna array with a three-dimensional (3-D) array geometry can reduce the magnitude of its SCF and hence, improve the ergodic channel capacity (ECC) of wireless communication systems. Accordingly, we present a method to find the optimum 3-D antenna array geometry for maximizing the ECC of a wireless communication system. This method develops a novel objective function to incorporate with a particle swarm optimization (PSO) for solving the resulting optimization problem. Simulation results are provided for confirming the validity and the effectiveness of the proposed method.

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Section: The Objective Functionmentioning

confidence: 99%

mentioning

confidence: 99%

Spatial Correlation of Multiple Antenna Arrays in Wireless Communication Systems

Lee¹,

Cheng²

2012

PIER

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“…When the frequency components of a wideband channel are uncorrelated to each other, it is possible to divide the wideband channel into several narrowband channels [15,16]. As a result, the MIMO capacity of UWB systems can be seen as the summation of several MIMO capacities of NB systems at every discrete frequency component, and it can be expressed as follows:…”

Section: System Descriptionmentioning

confidence: 99%

Channel capacity of multiple‐input multiple‐output ultra‐wideband systems with single co‐channel interference

Liao

Chiu

et al. 2010

Int J Communication

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SUMMARYIn this paper, the channel capacity of multiple-input multiple-output ultra-wideband (MIMO-UWB) systems with single co-channel interference (CCI) is calculated. A ray-tracing approach is used to calculate the wanted channel frequency response, and the channel frequency response is further used to calculate the corresponding channel capacity. By the ray-tracing approach, two different antenna arrays are applied to our simulation to observe whether MIMO can reduce CCI. Also the effects caused by the two antenna arrays for the desired system and CCI are quantified.

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“…In particular, the uniform AoA pdf has been used extensively to model the distribution of scatterers and compute the spatial correlation experienced between multiple-antenna elements to evaluate the performance of MIMO systems [1], [4], [8], [10]- [14].…”

Section: Introductionmentioning

confidence: 99%

3D Spatial Fading Correlation for Uniform Angle of Arrival Distribution

2015

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We derive a closed-form expression for the spatial fading correlation (SFC) between two arbitrary points in 3D-space for the uniform limited azimuth-elevation angle of arrival probability density function (pdf). This expression simplifies the computation of the SFC, can be used in any 3D antenna array geometry, and avoids the need to generate separate expressions for specific antenna array geometries. We corroborate the accuracy of the closed-form expression through application to 2D and 3D antenna array geometries. We expect the results presented in this letter to be of significant importance for performance evaluation and sensitivity analysis in multi-input multi-output (MIMO) systems.

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Spatial Correlation and MIMO Capacity of Uniform Rectangular Dipole Arrays

Cited by 18 publications

References 7 publications

Spatial Correlation of Multiple Antenna Arrays in Wireless Communication Systems

Spatial Correlation of Multiple Antenna Arrays in Wireless Communication Systems

Channel capacity of multiple‐input multiple‐output ultra‐wideband systems with single co‐channel interference

3D Spatial Fading Correlation for Uniform Angle of Arrival Distribution

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