Abstract: Method for generating a configuration of elements for a multi-input and multi-output multi-user (“MIMOMU”) antenna array system comprising the steps of at least two antennas and at least one electromagnetic signal modifying element; and, applying a genetic algorithm to the antennas to generate an antenna array configuration in which the antennas form an asymmetric array and where the array system is optimized for multi-user performance, and MIMOMU antenna array systems are disclosed.

Abstract: Recent work has shown that in nearly line-of-sight (LOS) Multiple-Input Multi-Output (MIMO) wireless communication systems, spacing antennas according to the symbol wavelength rather than the carrier wavelength improves multiuser performance. MIMO systems have a heavy reliance on a multipath rich environment, which may not always be present in close range ultra wideband conditions. By adding reflector elements to the antenna structure, this multipath rich environment can be induced. The performance of the users with respect to the arrangement of antennas and reflector elements is a non-linear function that a genetic algorithm (GA) seems applicable for exploiting both symbol-wavelength spacing and multipath inducing reflector elements. A GA optimization is used to determine the optimum characteristics for antennas and reflector elements. MIMO system models with four users, and three, four, and five antennas are considered using a two-dimensional LOS channel with additive white noise.