Title
A Mm-Wave Analog Adaptive Array With Genetic Algorithm For Interference Mitigation
Abstract
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.
Year
DOI
Venue
2012
10.1109/ISCAS.2012.6271774
2012 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 2012)
Keywords
Field
DocType
signal to noise ratio,genetic algorithm,cci,antennas,interference,signal to interference plus noise ratio,genetic algorithms,convergence
Computer science,Signal-to-noise ratio,Adjacent-channel interference,Single antenna interference cancellation,Co-channel interference,Phase perturbation,Electronic engineering,Interference (wave propagation),Array gain,Zero-forcing precoding
Conference
ISSN
Citations 
PageRank 
0271-4302
1
0.55
References 
Authors
2
5
Name
Order
Citations
PageRank
Lu Chuang141.38
Yan Wu2436.99
Reza Mahmoudi3256.97
Marion Matters-Kammerer474.93
Peter G. M. Baltus57420.38