Uplink spatial fading correlation of MIMO channel

Waheed, U.A.; Kishore, D.V.

doi:10.1109/vetecf.2003.1284985

Cited by 8 publications

(8 citation statements)

References 4 publications

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“…For the ULA at the MU (transmitting side), it is assumed that the mean angle of departure θ t is uniformly distributed over [0, 2π], as given in [12] as follows:…”

Section: System Model and Spatial Correlation Calculationsmentioning

confidence: 99%

“…The channel model employed in this work is a discrete model based on statistical distribution of the AoAs of the incoming rays as in [11] for the receiver part. The spatial correlation matrix at the transmitter will be modeled as in [12][13][14]. Rician fading channel [15] is also included in the model to consider LOS and NLOS propagations.…”

Section: Introductionmentioning

confidence: 99%

“…However, Uniform Circular array (UCA) is as an alternative geometry with its enhanced properties. The analysis of fading correlation was carried out for UCA in [12][13][14]. The results show that the spatial correlation decreases for UCA compared to ULA on average for small and moderate angle spread (AS) for similar aperture sizes.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Mangoud¹

2009

PIER C

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Abstract-The geometrical parameters of antenna arrays in a multiple-input multiple-output (MIMO) link that will maximize the ergodic channel capacity of the system are investigated. The problem of selecting the optimum number of the elements at the base station antenna array is also included. The genetic algorithm technique is applied for the optimisation process, using the ergodic capacity as a fitness function. A discrete model based on statistical distribution of the Angle of Arrival (AoA) of the incoming rays is considered. Searching for more compactness in the antenna size and higher system capacity, different array configurations with non-uniform inter-element spacing are considered, such as linear array, circular array and multicircular array (Star) geometries. Numerical examples that illustrate new designs of non-uniform spaced arrays are presented to show the capability of the developed procedures to optimize the capacity of indoor MIMO systems.

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“…For the ULA at the MU (transmitting side), it is assumed that the mean angle of departure θ t is uniformly distributed over [0, 2π], as given in [12] as follows:…”

Section: System Model and Spatial Correlation Calculationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Mangoud¹

2009

PIER C

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“…Thus, UCA shows potential as an alternative geometry with its enhanced properties. Analysis of fading correlation were carried out for UCA in [3], [4] and [5]. Most of this previous work on 978-1-4244-2858-8/08/$25.00 ©2008 IEEE considering single cluster model in Rayleigh channel.…”

Section: Introductionmentioning

confidence: 99%

“…For the ULA transmitting side, it is assumed that the mean angle of departure ()t is uniformly distributed over [0, 21t] that is given in [3] and it can be expressed as: …”

Section: Introductionmentioning

confidence: 99%

Capacity investigations of MIMO systems in correlated rician fading channel using statistical multi-clustered modelling

Mangoud

2008

2008 8th International Conference on ITS Telecommunications

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The effects of spatial correlation and Rician fading on the capacity of MIMO systems under different channel conditions are investigated in this paper. Antenna spatial correlation is computed by employing uplink statistical MIMO channel model with angular energy distributed over multi-clusters. Two types of antenna arrays are considered, the uniform linear array (ULA) and the uniform circular array (UCA) at both ends of the system. The impact of array elements separation, mean angle-ofarrival (AOA) and angle spreads (AS) of the received signal per cluster on the capacity are presented. Also, the impact of considering K factor of the Rician distribution for single and multiclusters environments is studied under different propagation scenarios.

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A space‐time channel simulator for MIMO channels based on the geometrical one‐ring scattering model

Pätzold

Hogstad

2004

Wireless Communications

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This paper introduces a general concept for the design of efficient multi-input multi-output (MIMO) narrowband fading channel simulators. The proposed procedure is applied on a reference model for the geometrical one-ring scattering model consisting of an infinite number of local scatterers laying on a ring around the mobile station (MS). The statistical properties of both the reference model and the simulation model are studied. Closed-form solutions are presented, for example for the space-time cross-correlation function (CCF), the time autocorrelation function (ACF) and the two-dimensional (2-D) space CCF. It will be shown, how the parameters of the MIMO channel simulator can be determined for any given space-time CCF describing the reference model. The excellent performance of the proposed space-time channel simulator is demonstrated by comparing its temporal and spatial correlation properties with those of the reference model. Moreover, it is demonstrated how the channel simulator can be used to analyze the statistics of the capacity of MIMO channels from time-domain simulations.

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Uplink spatial fading correlation of MIMO channel

Cited by 8 publications

References 4 publications

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Capacity investigations of MIMO systems in correlated rician fading channel using statistical multi-clustered modelling

A space‐time channel simulator for MIMO channels based on the geometrical one‐ring scattering model

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