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Impact of carrier frequency offset and in-phase and quadrature imbalance on the performance of wireless precoded orthogonal frequency division multiplexing

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 12 No. 5 (2022)

DOI
10.11591/ijece.v12i5.pp5153-5163
ISSN
2722-2578, 2088-8708
Published
2022-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Precoding in orthogonal frequency division multiplexing (OFDM) system proved to reduce the peak-to-average power ratio (PAPR), so that it improves BER. However, from the existing literature, the effect of carrier frequency offset (CFO), in-phase and quadrature (IQ) imbalance on precoded wireless OFDM systems has not been carried out. Therefore, this study evaluated the precoded OFDM (P-OFDM) system performance by considering the impact of CFO and IQ imbalance. P-OFDM performance evaluation is expressed in signal-to-interference noise ratio (SINR) and bit error rates (BER). The communication channels used are the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading (FSRF) channel, while the channel equalization process is considered perfect. The results of the analysis and simulation show that P-OFDM is greater affected by the presence of CFO and IQ imbalance than conventional OFDM system. In AWGN channel, P-OFDM experiences different SINR for each subcarrier. This is different from conventional OFDM system, where all SINRs are the same for all subcarriers. In the FSRF channel, both the POFDM system and the OFDM system experience different SINR for each subcarrier, where the SINRs fluctuation in the P-OFDM system is much larger than in the OFDM system.

Collaboration network of the authors

29 authors · 97 co-authorship links · 35 across different organisations

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  • National Research and Innovation Agency
  • Universitas Nurtanio
  • Indonesian Institute of Sciences
  • Bandung Institute of Technology
  • Universitas Nusa Mandiri
  • University of Missouri–Kansas City
  • Jazan University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Dayat KurniawanIndonesian Institute of Sciences6
Suyoto SuyotoIndonesian Institute of Sciences3
Vita Awalia MardianaIndonesian Institute of Sciences3
Mochamad Mardi Marta DinataNational Research and Innovation Agency3
Arumjeni MitayaniNational Research and Innovation Agency3
Purwoko AdhiNational Research and Innovation Agency3
Budiman P.A. RohmanNational Research and Innovation Agency3
Ratna IndrawijayaNational Research and Innovation Agency3
Riza Ayu PutriUniversitas Nurtanio2
Rinda Safana LinggiUniversitas Nurtanio2
I Gusti Ayu Putri Surya ParamitaUniversitas Nurtanio2
Ni Kadek Emy IswarawatiUniversitas Nurtanio2
Fabian AkbarUniversitas Nurtanio2
Prio Adjie UtomoUniversitas Nurtanio2
Siska RahmadaniUniversitas Nusa Mandiri1
Muhammad HarisUniversitas Nusa Mandiri1
Andriyan Bayu SuksmonoBandung Institute of Technology1
Sugihartono SugihartonoBandung Institute of Technology1
Nana Rachmana SyambasBandung Institute of Technology1
Johanes Adi PrihantonoUniversitas Nurtanio1
Ike Yuni WulandariUniversitas Nurtanio1
Wajeb GharibiUniversity of Missouri–Kansas City1
Wazir Zada KhanJazan University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Impact of carrier frequency offset and in-phase and quadrature imbalance on the performance of wireless precoded orthogonal frequency division multiplexing</dc:title><dc:creator>Suyoto, Suyoto</dc:creator><dc:creator>Subekti, Agus</dc:creator><dc:creator>Satyawan, Arief Suryadi</dc:creator><dc:creator>Armi, Nasrullah</dc:creator><dc:creator>Ali Wael, Chaeriah Bin</dc:creator><dc:creator>Nurkahfi, Galih Nugraha</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;p&amp;gt;Precoding in orthogonal frequency division multiplexing (OFDM) system proved to reduce the peak-to-average power ratio (PAPR), so that it improves BER. However, from the existing literature, the effect of carrier frequency offset (CFO), in-phase and quadrature (IQ) imbalance on precoded wireless OFDM systems has not been carried out. Therefore, this study evaluated the precoded OFDM (P-OFDM) system performance by considering the impact of CFO and IQ imbalance. P-OFDM performance evaluation is expressed in signal-to-interference noise ratio (SINR) and bit error rates (BER). The communication channels used are the additive white Gaussian noise (AWGN) channel and the frequency-selective Rayleigh fading (FSRF) channel, while the channel equalization process is considered perfect. The results of the analysis and simulation show that P-OFDM is greater affected by the presence of CFO and IQ imbalance than conventional OFDM system. In AWGN channel, P-OFDM experiences different SINR for each subcarrier. This is different from conventional OFDM system, where all SINRs are the same for all subcarriers. In the FSRF channel, both the POFDM system and the OFDM system experience different SINR for each subcarrier, where the SINRs fluctuation in the P-OFDM system is much larger than in the OFDM system.&amp;lt;/p&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2022-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v12i5.pp5153-5163</dc:identifier><dc:identifier>10.11591/ijece.v12i5.pp5153-5163</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 12 No 5 (2022); 5153</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/27802/15943</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>