Publications Scientifiques
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Item Capacity optimization of MIMO systems involving conformal antenna arrays using a search group algorithm(2020) Recioui, AbdelmadjidMIMO systems constitute a backbone of the fourth and fifth generations of wireless communication systems. The purpose of this paper is to introduce the involvement of conformal antenna arrays into MIMO systems. The Search Group Algorithm (SGA) is then used to further enhance the capacity of MIMO system employing conformal antenna arrays at both ends (Transmitter; Tx and Receiver; Rx). The results reveal that compared to the linear and 2D cases, conformal antenna arrays promise higher capacity values which motivates their employment in future MIMO communication systemsItem Capacity optimization of MIMO wireless communication systems using a hybrid Genetic-Taguchi algorithm(Springer, 2013) Recioui, Abdelmadjid; Bentarzi, HamidItem Application of a Galaxy-Based search algorithm to MIMO system capacity optimization(Springer, 2016) Recioui, AbdelmadjidItem Genetic algorithm based MIMO capacity enhancement In spatially correlated channels including mutual coupling(Springer, 2012) Recioui, Abdelmadjid; Bentarzi, HamidHigher system capacities can be achieved if multiple antennas are used on both sides of the wireless link, thus creating a multiple-input-multiple-output (MIMO) system. In this work, the maximization of MIMO system capacity in Rayleigh fading, spatially correlated channels involving practical antenna arrays is challenged through inter-element spacing optimization. The system capacity is evaluated using a proposed formula that takes into account both antenna mutual coupling and signal correlation. Capacity values turn out to outperform the ones obtained considering the conventional antenna array geometries