GPU-based Electromagnetic Optimization of MIMO Channels

被引：0

作者：

Breglia, Alfonso ^{[1
]}

Capozzoli, Amedeo ^{[1
]}

Curcio, Claudio ^{[1
]}

Di Donna, Salvatore ^{[1
]}

Liseno, Angelo ^{[1
]}

机构：

[1] Univ Napoli Federico II, Dipartimento Ingn Elettr Tecnol & Informaz, Via Claudio 21, I-80125 Naples, Italy

来源：

APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY JOURNAL | 2018年 / 33卷 / 02期

关键词：

CUDA; differential evolutionary; Geometrical Optics; GPU; MIMO channel; optimization; singular values;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Strategies to accelerate MIMO channel capacity optimization on GPUs are outlined. The optimization scheme is dealt with by properly facing the main computational issues. In particular, the propagation environment is described by ultrafast Geometrical Optics (GO), singular values are computed by a very fast scheme and the optimizer is a parallel version of the differential evolutionary algorithm. The unknowns are given proper representations to reduce the number of optimization parameters.

引用

页码：172 / 175

页数：4

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