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Low Complexity Decoders for Spatial and Quadrature Spatial Modulations - Invited Paper

2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 2018
In spatial modulation (SM) and quadrature SM (QSM), the maximum-likelihood (ML) decoder provides the optimum solution with high decoding complexity at the receiver side. This paper presents a novel low-complexity algorithm for decoding the SM and QSM symbols, referred to as the min-max algorithm. This is an intelligent searching algorithm, particularly
Ibrahim Al-Nahhal   +2 more
openaire   +1 more source

RIS-Assisted Generalized Receive Quadrature Spatial Modulation

GLOBECOM 2023 - 2023 IEEE Global Communications Conference, 2023
Mohamad H. Dinan, Mark F. Flanagan
openaire   +1 more source

Parallel Complex Quadrature Spatial Modulation

Applied Sciences (Switzerland), 2021
Kang-Sun Choi, Manar Mohaisen
exaly  

Quadrature Spatial Modulation-Assisted Full-Duplex Communication

IEEE Wireless Communications Letters, 2021
Ugrasen Singh   +2 more
openaire   +1 more source

Adaptive Quadrature Spatial Modulation

IETE Technical Review (Institution of Electronics and Telecommunication Engineers, India), 2020
Narushan Pillay, Haonan Xu
exaly  

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

IEEE Transactions on Vehicular Technology, 2022
Chao Xu, Yusha Liu, Lajos Hanzo
exaly  

Generalized Quadrature Spatial Modulation and its Application to Vehicular Networks With NOMA

IEEE Transactions on Intelligent Transportation Systems, 2021
Shuping Dang   +2 more
exaly  

Quadrature Spatial Modulation Performance Over Nakagami- $m$ Fading Channels

IEEE Transactions on Vehicular Technology, 2016
Raed Mesleh   +2 more
exaly  

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