.png){kind=icon}
Return
A Low-Complexity Power Allocation Algorithm for Multiple-Input-Multiple-Output Spatial Modulation Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TVT.2015.2410252.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
In this paper, a low-complexity Euclidean distance-based power allocation (PA) algorithm is proposed for spatial modulation (SM)aided multiple-input-multiple-output (MIMO) systems. The proposed algorithm only exploits the Euclidean distances of a few dominant error vectors for optimizing the PA matrix; hence, its computational complexity is considerably reduced compared with the exhaustive-search-based algorithm. Our simulation results show that the proposed algorithm provides beneficial bit error ratio (BER) performance improvements compared with both the conventional SM- and PA-based spatial multiplexing arrangements.
Keywords:
Euclidean distance
link adaptation (LA)
power allocation (PA)
spatial modulation (SM)
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
7.1
Papers:
1.8W
Citations:
6.6W
Organization
Cited Papers
.png){kind=icon}
ShareSave
View more