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Capacity, Convergence, and Complexity Improvements for LDPC-Coded MIMO-VLC Systems With Generalized Spatial Modulation

IEEE Transactions on Communications
This paper is centered on multiple-input multiple-output visible light communication (MIMO-VLC) systems with protograph-based low-density parity-check (P-LDPC) codes.
Zhaojie Yang   +3 more
semanticscholar   +1 more source

Antenna Grouping Based Generalized Spatial Modulation System

2021 IEEE/CIC International Conference on Communications in China (ICCC), 2021
Spatial modulation (SM) technology [1], compared with the vertical Bell Labs layered space-time (V-BLAST) [2] and multiple-input and multiple-output (MIMO) [3] schemes, can significantly combat the inter-channel interference (ICI) and reduce the ...
Mengmeng Yan   +5 more
semanticscholar   +1 more source

Integer-Forcing Detection of Generalized Spatial Modulation

2018
Generalized spatial modulation (GSM) activates more transmit antennas than spatial modulation to increase the spectral efficiency. Although the maximum likelihood (ML) detector is able to achieve the optimal performance, its exhaustive search leads to intractable computational complexity.
Guoquan Li 0001   +6 more
openaire   +1 more source

Novel detection schemes for generalized quadrature spatial modulation

International Journal of Communication Systems, 2021
SummarySpatial Modulation (SM) is a technology that incorporates digital modulation and coding with multiple antennas to achieve high data rates along with improved energy efficiency. Quadrature spatial modulation (QSM), which extends the transmitted signals to in‐phase and quadrature domains, has recently been proposed to improve spectral efficiency ...
Sagarkumar B. Patel   +3 more
openaire   +1 more source

Hybrid Precoding Design for Secure Generalized Spatial Modulation With Finite-Alphabet Inputs

IEEE Transactions on Communications, 2021
Technically, the security performance of generalized spatial modulation (GenSM) networks can be enhanced by dynamically adjusting the precoder allocated to the legitimate signal as communication channel varies.
Guiyang Xia   +5 more
semanticscholar   +1 more source

On generalized spatial modulation for multiuser wireless communications

2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017
The recently proposed multiple-input multiple-output (MIMO) technique of spatial modulation (SM) has attracted a good deal of attention due to its low implementation and computational complexity, and the spectral efficiency and energy efficiency gains it offers over many conventional MIMO schemes.
Christopher Downey   +2 more
openaire   +1 more source

Extended Variable Active Antenna Generalized Spatial Modulation

IEEE Wireless Communications Letters
In this letter, a novel scheme which is called extended variable active antenna generalized spatial modulation (EV-GSM) to achieve the transmission of more extra bits of information is proposed.
Feifei Zhu   +4 more
semanticscholar   +1 more source

Three-Dimensional Generalized Spatial Modulation for Ambient Backscatter Communication

IEEE Wireless Communications Letters
In this letter, a three-dimensional generalized spatial modulation for ambient backscatter communication (3D-GSM-AmBC) is proposed. A 3D constellation and antenna selection method are jointly designed so that the minimum Euclidean distance (MED) among ...
Xingyue Yang, Lei Wang, Jiqing Yang
semanticscholar   +1 more source

Reconfigurable Intelligent Surface-Assisted Generalized Spatial Modulation With Phase Offset: Efficient Designs for Single-RF MIMO Systems

IEEE Transactions on Vehicular Technology
In this contribution, a practical reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) system is presented to improve the performance and spectral efficiency (SE) of state-of-the-art RIS-assisted spatial modulation ...
Lechen Zhang   +4 more
semanticscholar   +1 more source

Complex-Valued Neural Network Detection for RIS-Assisted Generalized Spatial Modulation

2024 IEEE 100th Vehicular Technology Conference (VTC2024-Fall)
Applying the deep learning in signal processing for communication systems, several models based on Real-Valued Deep Neural Network (RVDNN) and convolutional neural network (RVCNN) have been previously proposed to detect signals of generalized spatial ...
Yuyan Liu, Chaorong Zhang, B. Ng, C. Lam
semanticscholar   +1 more source

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