Signal Constellations with Algebraic Properties and their Application in Spatial Modulation Transmission Schemes
Rohweder, Daniel Benjamin.
Signal Constellations with Algebraic Properties and their Application in Spatial Modulation Transmission Schemes [electronic resource] / by Daniel Benjamin Rohweder. - 1st ed. 2022. - 1 online resource - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), 2661-8095 . - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), .
Introduction -- Channel Models and Transmission Scenarios -- Signal Constellations with Algebraic Properties -- Spatial Modulation with Two-Dimensional Signal Constellations -- Spatial Modulation with Multidimensional Signal Constellations -- Conclusions.
Nowadays, most digital modulation schemes are based on conventional signal constellations that have no algebraic group, ring, or field properties, e.g. square quadrature-amplitude modulation constellations. Signal constellations with algebraic structure can enhance the system performance. For instance, multidimensional signal constellations based on dense lattices can achieve performance gains due to the dense packing. The algebraic structure enables low-complexity decoding and detection schemes. In this work, signal constellations with algebraic properties and their application in spatial modulation transmission schemes are investigated. Several design approaches of two- and four-dimensional signal constellations based on Gaussian, Eisenstein, and Hurwitz integers are shown. Detection algorithms with reduced complexity are proposed. It is shown, that the proposed Eisenstein and Hurwitz constellations combined with the proposed suboptimal detection can outperform conventional two-dimensional constellations with ML detection. About the author Daniel Rohweder received the B.Eng. degree in electrical engineering and information technology and the M.Eng. degree in electrical systems engineering from HTWG Konstanz, University of Applied Sciences, Germany, in 2015 and 2017, respectively. In 2016, he joined the Institute of System Dynamics (ISD), HTWG Konstanz, working on signal constellations with algebraic properties and their application in spatial modulation transmission schemes.
9783658371142
10.1007/978-3-658-37114-2 doi
Signal processing.
Automation.
Digital and Analog Signal Processing.
Automation.
Signal processing -- Mathematics Signal processing -- Digital techniques -- Mathematics Group theory
TK5102.9
Signal Constellations with Algebraic Properties and their Application in Spatial Modulation Transmission Schemes [electronic resource] / by Daniel Benjamin Rohweder. - 1st ed. 2022. - 1 online resource - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), 2661-8095 . - Schriftenreihe der Institute für Systemdynamik (ISD) und optische Systeme (IOS), .
Introduction -- Channel Models and Transmission Scenarios -- Signal Constellations with Algebraic Properties -- Spatial Modulation with Two-Dimensional Signal Constellations -- Spatial Modulation with Multidimensional Signal Constellations -- Conclusions.
Nowadays, most digital modulation schemes are based on conventional signal constellations that have no algebraic group, ring, or field properties, e.g. square quadrature-amplitude modulation constellations. Signal constellations with algebraic structure can enhance the system performance. For instance, multidimensional signal constellations based on dense lattices can achieve performance gains due to the dense packing. The algebraic structure enables low-complexity decoding and detection schemes. In this work, signal constellations with algebraic properties and their application in spatial modulation transmission schemes are investigated. Several design approaches of two- and four-dimensional signal constellations based on Gaussian, Eisenstein, and Hurwitz integers are shown. Detection algorithms with reduced complexity are proposed. It is shown, that the proposed Eisenstein and Hurwitz constellations combined with the proposed suboptimal detection can outperform conventional two-dimensional constellations with ML detection. About the author Daniel Rohweder received the B.Eng. degree in electrical engineering and information technology and the M.Eng. degree in electrical systems engineering from HTWG Konstanz, University of Applied Sciences, Germany, in 2015 and 2017, respectively. In 2016, he joined the Institute of System Dynamics (ISD), HTWG Konstanz, working on signal constellations with algebraic properties and their application in spatial modulation transmission schemes.
9783658371142
10.1007/978-3-658-37114-2 doi
Signal processing.
Automation.
Digital and Analog Signal Processing.
Automation.
Signal processing -- Mathematics Signal processing -- Digital techniques -- Mathematics Group theory
TK5102.9
