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http://dx.doi.org/10.7840/kics.2017.42.4.731

A Low-Complexity ML Detector for Generalized Spatial Modulation Based on Priority  

Lee, Man Hee (Department of IT Convergence Engineering, Kumoh National Institute of Technology)
Shin, Soo Young (Kumoh National Institute of Technology)
Abstract
In this paper, we proposed a modified ML detector for generalized spatial modulation which is a method among Multiple-input Multiple-output. This proposed method detects signal applying modified channel statement information based on priority. Complexity in conventional methods increases as increasing the number of active antennas. To solve this problem, we proposed a new ML method using static channel information decided by the number of transmit antennas and the number of receive antennas. This method detects active antennas one by one through priority. The proposed method has proved benefit on complexity compared with conventional method through simulations. When the number of transmit antennas is equal to 10, there is approximately 45% complexity reduction.
Keywords
Generalized Spatial Modulation (GSM); MIMO; ML detector; Priority; Channel Statement Information (CSI);
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Times Cited By KSCI : 4  (Citation Analysis)
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