We present an approach for the maximization of the MIMO channel capacity. The proposed scheme is based on the optimization of the singular values of the channel scattering matrix by properly facing the main computational key points of the problem. The approach is GPU-based, the propagation environment is described by an ultrafast Geometrical Optics (GO) approach, the singular values are computed by a very fast scheme and the required global optimization is performed by a differential evolutionary algorithm. The unknowns of the problem, namely the antenna locations, are given proper representations to reduce the overall number of optimization parameters. © 2017 ACES.
Electromagnetic optimization of MIMO channels using GPUs / Breglia, Alfonso; Capozzoli, Amedeo; Curcio, Claudio; DI DONNA, Salvatore; Liseno, Angelo. - (2017). (Intervento presentato al convegno International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017 tenutosi a Firenze nel 26-30 March 2017) [10.23919/ROPACES.2017.7916308].
Electromagnetic optimization of MIMO channels using GPUs
BREGLIA, ALFONSO;CAPOZZOLI, AMEDEO;CURCIO, CLAUDIO;DI DONNA, SALVATORE;LISENO, ANGELO
2017
Abstract
We present an approach for the maximization of the MIMO channel capacity. The proposed scheme is based on the optimization of the singular values of the channel scattering matrix by properly facing the main computational key points of the problem. The approach is GPU-based, the propagation environment is described by an ultrafast Geometrical Optics (GO) approach, the singular values are computed by a very fast scheme and the required global optimization is performed by a differential evolutionary algorithm. The unknowns of the problem, namely the antenna locations, are given proper representations to reduce the overall number of optimization parameters. © 2017 ACES.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
