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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJITEST</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Innovative Trends in Engineering Science and Technology</journal-title>
        <abbrev-journal-title abbrev-type="publisher">IJITEST</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">3139-6887</issn>
      <publisher>
        <publisher-name>Felix Academic Publications</publisher-name>
      </publisher>
      <self-uri xlink:href="https://ijitest.org"/>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJITEST-2026-006</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Research Articles</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Quantum Communication for 5G-6G Qubit-Driven Massive MIMO-OFDM Performance Analysis</article-title>
      </title-group>
      <contrib-group>
      <contrib contrib-type="author" corresp="yes">
        <name>
          <surname>babu</surname>
          <given-names>T. Ravi</given-names>
        </name>
        <email>rthorlapati@miracleeducationalsociety.com</email>
        <xref ref-type="aff" rid="aff1"/>
      </contrib>
      <contrib contrib-type="author">
        <name>
          <surname>Rao</surname>
          <given-names>A. Venkateswara</given-names>
        </name>
        <email>vallu@miracleeducationalsociety.com</email>
        <xref ref-type="aff" rid="aff2"/>
      </contrib>
      <contrib contrib-type="author">
        <name>
          <surname>Rao</surname>
          <given-names>CH. Subba</given-names>
        </name>
        <email>schappa@miracleeducationalsociety.com</email>
        <xref ref-type="aff" rid="aff3"/>
      </contrib>
      </contrib-group>
    <aff id="aff1">
      <institution-wrap>
        <institution content-type="orgname">Associate Professor,Department of ECE, Miracle Educational Society Group of Institutions(A), Vizianagaram, India</institution>
      </institution-wrap>
    </aff>
    <aff id="aff2">
      <institution-wrap>
        <institution content-type="orgname">Associate Professor, Department of ECE, Miracle Educational Society Group of Institutions(A), Vizianagaram, India</institution>
      </institution-wrap>
    </aff>
    <aff id="aff3">
      <institution-wrap>
        <institution content-type="orgname">Assistant Professor, Department of ECE, Miracle Educational Society Group of Institutions(A), Vizianagaram, India</institution>
      </institution-wrap>
    </aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>01</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
      <issue>1</issue>
      <fpage>33</fpage>
      <lpage>37</lpage>
      <history>
        <date date-type="received" iso-8601-date="2026-03-31">
          <day>31</day>
          <month>03</month>
          <year>2026</year>
        </date>
        <date date-type="accepted" iso-8601-date="2026-08-01">
          <day>01</day>
          <month>08</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Copyright &#169; 2026 T. Ravi babu, A. Venkateswara Rao, CH. Subba Rao. Published by Felix Academic Publications.</copyright-statement>
        <copyright-year>2026</copyright-year>
        <copyright-holder>T. Ravi babu, A. Venkateswara Rao, CH. Subba Rao</copyright-holder>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.</license-p>
        </license>
      </permissions>
      <self-uri content-type="html" xlink:href="https://ijitest.org/archives/volume1/issue1/IJITEST-2026-006"/>
      <self-uri content-type="pdf" xlink:href="https://ijitest.org/api/files/published/IJITEST-2026-006-published.pdf"/>
      <abstract xml:lang="en">
        <p>Communication frameworks that are extremely effective, intelligent, and secure are required due to the rapid shift from 5G to 6G networks. Through a performance analysis of qubit-driven Massive MIMO-OFDM, this paper investigates the integration of quantum communication concepts into conventional wireless systems. It provides a detailed comparison of quantum bit (qubit) representations and traditional binary bit processing. The study evaluates key performance measures across different channel models, such as Rayleigh and Nakagami-m fading, including Bit Error Rate (BER), spectral efficiency, Peak-to-Average Power Ratio (PAPR), and computational complexity. We demonstrate the potential for better robustness, reduced BER, and increased reliability in difficult wireless situations by incorporating qubit-based modulation, quantum channel estimation, and quantum error correction techniques into the OFDM and Massive MIMO framework. MATLAB simulation results show that qubit-based systems outperform classical binary systems, particularly in scenarios with high user density and mobility, making them a viable choice for upcoming 6G applications. Important information about the benefits and trade-offs of switching from classical to quantum-enhanced wireless communication systems is provided by the comparative study</p>
      </abstract>
      <kwd-group kwd-group-type="author-keywords">
        <kwd>Quantum Communication</kwd>
        <kwd>Qubits and Binary Bits</kwd>
        <kwd>Massive MIMO-OFDM</kwd>
        <kwd>5G and 6G Networks</kwd>
        <kwd>Bit Error Rate</kwd>
        <kwd>Channel Estimation</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-summary">
      <title>Article Overview</title>
      <p>Communication frameworks that are extremely effective, intelligent, and secure are required due to the rapid shift from 5G to 6G networks. Through a performance analysis of qubit-driven Massive MIMO-OFDM, this paper investigates the integration of quantum communication concepts into conventional wireless systems. It provides a detailed comparison of quantum bit (qubit) representations and traditional binary bit processing. The study evaluates key performance measures across different channel models, such as Rayleigh and Nakagami-m fading, including Bit Error Rate (BER), spectral efficiency, Peak-to-Average Power Ratio (PAPR), and computational complexity. We demonstrate the potential for better robustness, reduced BER, and increased reliability in difficult wireless situations by incorporating qubit-based modulation, quantum channel estimation, and quantum error correction techniques into the OFDM and Massive MIMO framework. MATLAB simulation results show that qubit-based systems outperform classical binary systems, particularly in scenarios with high user density and mobility, making them a viable choice for upcoming 6G applications. Important information about the benefits and trade-offs of switching from classical to quantum-enhanced wireless communication systems is provided by the comparative study</p>
    </sec>
  </body>
  <back>
    <sec sec-type="declarations">
      <title>Declarations</title>
      <p>The authors declare that no competing interests exist in relation to this published work.</p>
    </sec>
  </back>
</article>