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2009-04-27

Optimization of Channel Capacity for Indoor MIMO Systems Using Genetic Algorithm

By Mohab Abd-Alhameed Mangoud
Progress In Electromagnetics Research C, Vol. 7, 137-150, 2009
doi:10.2528/PIERC08121405

Abstract

The geometrical parameters of antenna arrays in a multiple-input multiple-output (MIMO) link that will maximise 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 multi-circular 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.

Citation


Mohab Abd-Alhameed Mangoud, "Optimization of Channel Capacity for Indoor MIMO Systems Using Genetic Algorithm," Progress In Electromagnetics Research C, Vol. 7, 137-150, 2009.
doi:10.2528/PIERC08121405
http://www.jpier.org/PIERC/pier.php?paper=08121405

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