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Low complexity receiver concepts for Generalized Spatial Modulation (GSM) MIMO applications

2017 International Conference on Communication and Signal Processing (ICCSP), 2017
MIMO (Multiple Input Multiple Output) systems have been instrumental for high data throughput in the present day communication systems. The initial concept of diversity to overcome deep fades was soon replaced by Spatial Multiplexing (SMX). Although SMX has high spectral efficiency, the power efficiency remains poor as the system needs to operate many ...
Swati Rai, Debashis Adhikari, Dhara Shah
openaire   +3 more sources

Microstrip Antenna Array Design for Generalized Spatial Modulation—Multiple Input Multiple Output (GSM-MIMO) Applications

2018
An array of patch antenna aims at improving the gain of the antenna as well as improves the radiation in different directions. By selecting two antennas out of four in 4 * 1 array, the power can be increased to a great extent, and by this switching technique of the antenna in the array, the transmission of bits is done in an efficient way. In this, the
Raj Rajeshwari Lunawat   +2 more
openaire   +1 more source

Artificial-Noise-Aided CQI-Mapped Generalized Spatial Modulation

IEEE Transactions on Vehicular Technology, 2023
Weijun Yin, Zhengmin Kong, Yusha Liu
exaly  

The Achievable Rate Analysis of Generalized Quadrature Spatial Modulation and a Pair of Low-Complexity Detectors

IEEE Transactions on Vehicular Technology, 2022
Jiancheng An, Chao Xu, Yusha Liu
exaly  

On the Capacity and Performance of Generalized Spatial Modulation

IEEE Communications Letters, 2016
T Lakshmi Narasimhan, A Chockalingam
exaly  

Low-Complexity Sphere Decoding Detector for Generalized Spatial Modulation Systems

IEEE Communications Letters, 2014
Raimundo Sampaio-Neto
exaly  

Power Efficient Generalized Spatial Modulation MIMO for Indoor Visible Light Communications

IEEE Photonics Technology Letters, 2017
C Rajesh Kumar, R K Jeyachitra
exaly  

Denoising Detection for the Generalized Spatial Modulation System Using Sparse Property

IEEE Communications Letters, 2014
Wenlong Liu, Minglu Jin, Hongjun Xu
exaly  

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