Modeling and Simulation of Phase Noise Effect on 256-QAM

Bourdillon Odianonsen Omijeh; Ejioeto Evans Ibara

doi:doi:10.11648/j.wcmc.20150306.13

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Modeling and Simulation of Phase Noise Effect on 256-QAM

Bourdillon Odianonsen Omijeh, Ejioeto Evans Ibara

Published in International Journal of Wireless Communications and Mobile Computing (Volume 3, Issue 6)

Received: 20 October 2015 Accepted: 29 October 2015 Published: 14 December 2015

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Abstract

This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.

Published in	International Journal of Wireless Communications and Mobile Computing (Volume 3, Issue 6)
DOI	10.11648/j.wcmc.20150306.13
Page(s)	72-76
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

QAM, BER, Phase Noise, PNLD, Noise, AWGN

References

[1]	Dickstein, L. (2012) White Paper. Introduction to Phase Noise in Signal Generators. [Online] Available from: http://www.gigatronics.com/uploads/document/AN-GT140A-Introduction-to-Phase-Noise-in-Signal-Generators.pdf. [Accessed: 10th August 2015].
[2]	Biebuma. J.J. Omijeh, B.O, Nathaniel. M.M (2014): Signal Coverage Estimation Model for Microcellular Network Propagation IOSR Journal of Electronics and Communication Engineering (IOSR-JECE), Vol.9, Issue 6 PP 45-53, 2014.
[3]	Freeman, R.L. (2008). Technology and Engineering. Radio System Design for Telecommunication. [Online] Available from: http://books.google.com.ng/books?isbn=0470050438.
[4]	Kumar, S. (2015) Technology and Engineering. Wireless Communications Fundamental & Advanced Concepts. [Online] Available from: https://books.google.com.ng/books?isbn=8793102801. [Accessed: 10th August 2015].
[5]	Kang, H. & Kim, J. (2005). Constellation Mapping Apparatus and Method US 20050220205 A1. http://www.google.com/patents/US20050220205. [Accessed: 7th August 2015].
[6]	Parihar, G. S. & Singh, P. (2014) A project Report on Synchronization Techniques for OFDM, 2008-09 Session. http://www.ni.com/white-paper/3896/en/. [Accessed: 7th August 2015].
[7]	Ahmad, A. (2003) Data Communication Principles for Fixed and Wireless Networks. [Online] Available from: https://books.google.com.ng/books?isbn=1402073283. [Accessed: 10th August 2015].
[8]	Efurumibe, E. L. & Asiegbu, A. D. (2012) Computer-Based Study of the Effect of Phase Noise in256-Quadrature Amplitude Modulation Using Error-Rate Calculation Block - A Comparative Study. Journal of Information Engineering and Applications. [Online] 2(11). P.35. Available from: www.iiste.org. [Accessed: 8th August 2015].
[9]	Frenzel, L. (2012) Electronic Design. Understanding Modern Digital Modulation Techniques. [Online]. Available from: http://electronicdesign.com/communications/understanding-modern-digital-modulation-techiques. [Accessed: 16th August 2015].
[10]	Wetzheng Wang (1996): Communication toolbox user guide, www.mathworks.com.
[11]	www.fetweb.ju.edu.jo
[12]	www.mathworks.com

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APA Style

Bourdillon Odianonsen Omijeh, Ejioeto Evans Ibara. (2015). Modeling and Simulation of Phase Noise Effect on 256-QAM. International Journal of Wireless Communications and Mobile Computing, 3(6), 72-76. https://doi.org/10.11648/j.wcmc.20150306.13

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ACS Style

Bourdillon Odianonsen Omijeh; Ejioeto Evans Ibara. Modeling and Simulation of Phase Noise Effect on 256-QAM. Int. J. Wirel. Commun. Mobile Comput. 2015, 3(6), 72-76. doi: 10.11648/j.wcmc.20150306.13

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AMA Style

Bourdillon Odianonsen Omijeh, Ejioeto Evans Ibara. Modeling and Simulation of Phase Noise Effect on 256-QAM. Int J Wirel Commun Mobile Comput. 2015;3(6):72-76. doi: 10.11648/j.wcmc.20150306.13

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@article{10.11648/j.wcmc.20150306.13,
  author = {Bourdillon Odianonsen Omijeh and Ejioeto Evans Ibara},
  title = {Modeling and Simulation of Phase Noise Effect on 256-QAM},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {3},
  number = {6},
  pages = {72-76},
  doi = {10.11648/j.wcmc.20150306.13},
  url = {https://doi.org/10.11648/j.wcmc.20150306.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20150306.13},
  abstract = {This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.},
 year = {2015}
}

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TY  - JOUR
T1  - Modeling and Simulation of Phase Noise Effect on 256-QAM
AU  - Bourdillon Odianonsen Omijeh
AU  - Ejioeto Evans Ibara
Y1  - 2015/12/14
PY  - 2015
N1  - https://doi.org/10.11648/j.wcmc.20150306.13
DO  - 10.11648/j.wcmc.20150306.13
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 72
EP  - 76
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20150306.13
AB  - This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.
VL  - 3
IS  - 6
ER  -

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Author Information

Bourdillon Odianonsen Omijeh

Department of Electronic & Computer Engineering, University of Port Harcourt, Port Harcourt, Nigeria
Ejioeto Evans Ibara

Centre for Information and Telecommunications Engineering, University of Port Harcourt, Port Harcourt, Nigeria

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Plain Text BibTeX RIS

APA Style

Bourdillon Odianonsen Omijeh, Ejioeto Evans Ibara. (2015). Modeling and Simulation of Phase Noise Effect on 256-QAM. International Journal of Wireless Communications and Mobile Computing, 3(6), 72-76. https://doi.org/10.11648/j.wcmc.20150306.13

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ACS Style

Bourdillon Odianonsen Omijeh; Ejioeto Evans Ibara. Modeling and Simulation of Phase Noise Effect on 256-QAM. Int. J. Wirel. Commun. Mobile Comput. 2015, 3(6), 72-76. doi: 10.11648/j.wcmc.20150306.13

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AMA Style

Bourdillon Odianonsen Omijeh, Ejioeto Evans Ibara. Modeling and Simulation of Phase Noise Effect on 256-QAM. Int J Wirel Commun Mobile Comput. 2015;3(6):72-76. doi: 10.11648/j.wcmc.20150306.13

Copy | Download

@article{10.11648/j.wcmc.20150306.13,
  author = {Bourdillon Odianonsen Omijeh and Ejioeto Evans Ibara},
  title = {Modeling and Simulation of Phase Noise Effect on 256-QAM},
  journal = {International Journal of Wireless Communications and Mobile Computing},
  volume = {3},
  number = {6},
  pages = {72-76},
  doi = {10.11648/j.wcmc.20150306.13},
  url = {https://doi.org/10.11648/j.wcmc.20150306.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.wcmc.20150306.13},
  abstract = {This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.},
 year = {2015}
}

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TY  - JOUR
T1  - Modeling and Simulation of Phase Noise Effect on 256-QAM
AU  - Bourdillon Odianonsen Omijeh
AU  - Ejioeto Evans Ibara
Y1  - 2015/12/14
PY  - 2015
N1  - https://doi.org/10.11648/j.wcmc.20150306.13
DO  - 10.11648/j.wcmc.20150306.13
T2  - International Journal of Wireless Communications and Mobile Computing
JF  - International Journal of Wireless Communications and Mobile Computing
JO  - International Journal of Wireless Communications and Mobile Computing
SP  - 72
EP  - 76
PB  - Science Publishing Group
SN  - 2330-1015
UR  - https://doi.org/10.11648/j.wcmc.20150306.13
AB  - This paper models the effect of phase-noise on a 256-QAM Modulator using Computer Aided Design tool called Matlab/Simulink. By remodeling and varying the noise parameter in the AWGN channel of an expert–system based simulink model, and studying the impact of these variations on the BER of the system, values were recorded for every instance of simulation that was run before and after the addition of the noise. It was found that Phase Noise has an enormous effect on QAM modulators; an effect that grows strong with an increase in the density (version) of the QAM modulators. This implies that higher order QAM are prone to phase noise and hence error, but transmits more data.
VL  - 3
IS  - 6
ER  -

Copy | Download