Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams

Complexity of non-orthogonal multiple access (NOMA) digital signal processing schemes is particularly relevant in mobile environments because of the varying channel conditions of every single user. In contrast to legacy modulation and coding schemes (MCSs), NOMA MCSs typically have irregular symbol...

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Main Authors: Nenad Stefanovic, Vladimir Mladenovic, Borisa Jovanovic, Ron Dabora, Asutosh Kar
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Information
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Online Access:https://www.mdpi.com/2078-2489/16/6/468
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author Nenad Stefanovic
Vladimir Mladenovic
Borisa Jovanovic
Ron Dabora
Asutosh Kar
author_facet Nenad Stefanovic
Vladimir Mladenovic
Borisa Jovanovic
Ron Dabora
Asutosh Kar
author_sort Nenad Stefanovic
collection DOAJ
description Complexity of non-orthogonal multiple access (NOMA) digital signal processing schemes is particularly relevant in mobile environments because of the varying channel conditions of every single user. In contrast to legacy modulation and coding schemes (MCSs), NOMA MCSs typically have irregular symbol constellations with asymmetric symbol decision regions affecting synchronization at the receiver. Research papers investigating signal processing in this emerging field usually lack sufficient details for facilitating software-defined radio (SDR) implementation. This work presents a new symbolic framework approach for simulating signal processing functions in SDR transmit–receive paths in a dynamic NOMA downlink use case. The proposed framework facilitates simple and intuitive implementation and testing of NOMA schemes and can be easily expanded and implemented on commercially available SDR hardware. We explicitly address several important design and measurement parameters and their relationship to different tasks, including variable constellation processing, carrier and symbol synchronization, and pulse shaping, focusing on quadrature amplitude modulation (QAM). The advantages of the proposed approach include intuitive symbolic modeling in a dynamic framework for NOMA signals; efficient, more accurate, and less time-consuming design flow; and generation of synthetic training data for machine-learning models that could be used for system optimization in real-world use cases.
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spelling doaj-art-0e30f7f95f074ff296f3ba49feb0fafd2025-06-25T13:57:37ZengMDPI AGInformation2078-24892025-05-0116646810.3390/info16060468Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation DiagramsNenad Stefanovic0Vladimir Mladenovic1Borisa Jovanovic2Ron Dabora3Asutosh Kar4Center for Applied Mathematics and Electronics, 11000 Belgrade, SerbiaFaculty of Technical Sciences, 32000 Čačak, SerbiaMilitary Academy, University of Defence, 11042 Belgrade, SerbiaSchool of Electrical and Computer Engineering, Ben-Gurion University, Be’er Sheva 8410501, IsraelDr BR Ambedkar National Institute of Technology, Jalandhar 144008, Punjab, IndiaComplexity of non-orthogonal multiple access (NOMA) digital signal processing schemes is particularly relevant in mobile environments because of the varying channel conditions of every single user. In contrast to legacy modulation and coding schemes (MCSs), NOMA MCSs typically have irregular symbol constellations with asymmetric symbol decision regions affecting synchronization at the receiver. Research papers investigating signal processing in this emerging field usually lack sufficient details for facilitating software-defined radio (SDR) implementation. This work presents a new symbolic framework approach for simulating signal processing functions in SDR transmit–receive paths in a dynamic NOMA downlink use case. The proposed framework facilitates simple and intuitive implementation and testing of NOMA schemes and can be easily expanded and implemented on commercially available SDR hardware. We explicitly address several important design and measurement parameters and their relationship to different tasks, including variable constellation processing, carrier and symbol synchronization, and pulse shaping, focusing on quadrature amplitude modulation (QAM). The advantages of the proposed approach include intuitive symbolic modeling in a dynamic framework for NOMA signals; efficient, more accurate, and less time-consuming design flow; and generation of synthetic training data for machine-learning models that could be used for system optimization in real-world use cases.https://www.mdpi.com/2078-2489/16/6/468NOMASDRsymbolic computationsignal processingmodulation impairmentserror vector magnitude
spellingShingle Nenad Stefanovic
Vladimir Mladenovic
Borisa Jovanovic
Ron Dabora
Asutosh Kar
Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
Information
NOMA
SDR
symbolic computation
signal processing
modulation impairments
error vector magnitude
title Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
title_full Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
title_fullStr Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
title_full_unstemmed Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
title_short Symbolic Framework for Evaluation of NOMA Modulation Impairments Based on Irregular Constellation Diagrams
title_sort symbolic framework for evaluation of noma modulation impairments based on irregular constellation diagrams
topic NOMA
SDR
symbolic computation
signal processing
modulation impairments
error vector magnitude
url https://www.mdpi.com/2078-2489/16/6/468
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AT borisajovanovic symbolicframeworkforevaluationofnomamodulationimpairmentsbasedonirregularconstellationdiagrams
AT rondabora symbolicframeworkforevaluationofnomamodulationimpairmentsbasedonirregularconstellationdiagrams
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