A mm-wave analog adaptive array with genetic algorithm for interference mitigation

In the future dense 60 GHz wireless environments, co-channel interference (CCI) is a potential problem that degrades the link quality. In this paper, a genetic algorithm (GA) assisted analog adaptive array is proposed for 60 GHz indoor applications to mitigate the CCI. The GA optimizes the weights on each receiver path to attenuate CCI from different directions and improve signal-to-interference-plus-noise ratio (SINR) with robustness. We make two further improvements for better spatial re-use. First, we take into account the trade-off between array gain at the desired direction and interference suppression by proposing adaptivity on the weights control in GA. By adaptively increasing phase perturbation, near-optimum SINR can be achieved for different interference situations. Secondly, in some cases, the link requires less receiver paths than available, e.g. for line-of-sight links. So instead of using fixed antennas, we further propose antenna selection in the GA. A further improvement on spatial re-use can be achieved compared to arrays with fixed uniform spacing

A mm-wave analog adaptive array with genetic algorithm for interference mitigation

In the future dense 60 GHz wireless environments, co-channel interference (CCI) is a potential problem that degrades the link quality. In this paper, a genetic algorithm (GA) assisted analog adaptive array is proposed for 60 GHz indoor applications to mitigate the CCI. The GA optimizes the weights on each receiver path to attenuate CCI from different directions and improve signal-to-interference-plus-noise ratio (SINR) with robustness. We make two further improvements for better spatial re-use. First, we take into account the trade-off between array gain at the desired direction and interference suppression by proposing adaptivity on the weights control in GA. By adaptively increasing phase perturbation, near-optimum SINR can be achieved for different interference situations. Secondly, in some cases, the link requires less receiver paths than available, e.g. for line-of-sight links. So instead of using fixed antennas, we further propose antenna selection in the GA. A further improvement on spatial re-use can be achieved compared to arrays with fixed uniform spacing