Effect of Antenna Array Geometry and Ula Azimuthal Orientation on Mimo Channel Properties in Urban City Street Grid

Abouda, A.A.; El-Sallabi, H.M.

doi:10.2528/pier06050801

Cited by 50 publications

(39 citation statements)

References 20 publications

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“…Increased capacity was observed for different 3 dimensional (3D) uniform and non-uniform array configurations compared to conventional 0.5λ length ULA. Another study of outdoor capacity in urban city street grid was performed in [20]. Uniform rectangular array (URA) and uniform cubic array (UCuA) in addition to ULA and UCA with fixed inter-element spacing are considered.…”

Section: Introductionmentioning

confidence: 99%

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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Section: Introductionmentioning

confidence: 99%

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Mangoud¹

2009

PIER C

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“…The multiple-input and multiple-output (MIMO) systems have become an increasingly important research area in wireless communication society, and the capacity of MIMO systems has been intensively investigated [e.g., [37][38][39][40][41]. In this paper, an attempt has been made to bridge the gap between information theory and electromagnetic theory, and the MIMO channel capacity has been studied from the electromagnetic point of view.…”

Section: Resultsmentioning

confidence: 99%

Multi-Antenna Information Theory

Geyi¹

2007

PIER

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Abstract-It is well known that the performance of a wireless multiple-input and multiple-output (MIMO) system depends on the propagation channel. The propagation channel models can generally be divided into two different groups, the statistical models based on information theory and the site-specific models based on measurement or ray tracing. In this paper, a general procedure for predicting the MIMO channel model has been presented. Analytical expressions for the channel matrix elements in a general scattering environment have been derived from the statistical theory for a narrow-band electromagnetic field, and have been verified by numerical simulation and experiments. The limitations of information capacity of the MIMO wireless communication system imposed by the antennas have also been discussed, and analytical upper bounds on the information capacity in terms of the antenna parameters for multiple antenna system in free space have been obtained. Once the capacity of a MIMO system is specified, these upper bounds can serve as a criterion for estimating how many antennas are needed or how big the antenna must be to achieve the capacity.

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“…[1][2][3][4][5][6][7][8][9][10][11][12]. The directionsof-arrival (DOA) estimation [13][14][15][16][17][18] of signals impinging on an array of sensors is a fundamental problem in array processing, and many methods have been proposed for its solution.…”

Section: Introductionmentioning

confidence: 99%

Blind Direction of Arrival Estimation of Coherent Sources Using Multi-Invariance Property

Zhang¹,

Yu²,

Feng³

et al. 2008

PIER

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Abstract-Blind direction of arrival (DOA) estimation algorithms of coherent sources using multi-invariance property is presented in this paper. ESPRIT-like algorithm in [23] can estimate DOA of coherent signal, but its performance is without satisfaction. We reconstruct the received signal to form data model with multi-invariance property, and then multi-invariance ESPRIT and multi-invariance MUSIC algorithms for coherent DOA estimation are proposed in this paper. Our proposed algorithms can resolve the DOAs of coherent signals. They have much better DOA estimation performance than ESPRITlike algorithm. Meanwhile they identify more DOAs than ESPRIT-like algorithm. The simulation results demonstrate their validity.

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Effect of Antenna Array Geometry and Ula Azimuthal Orientation on Mimo Channel Properties in Urban City Street Grid

Cited by 50 publications

References 20 publications

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Optimization of Channel Capacity for Indoor Mimo Systems Using Genetic Algorithm

Multi-Antenna Information Theory

Blind Direction of Arrival Estimation of Coherent Sources Using Multi-Invariance Property

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