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<journal-meta>
<journal-id journal-id-type="publisher">global-journal-of-research-in-engineering-i-numerical-methods</journal-id>
<journal-title-group>
<journal-title>Global Journal of Research in Engineering - I: Numerical Methods</journal-title>
</journal-title-group>
<issn publication-format="print">0975-5861</issn>
<issn publication-format="electronic">2249-4596</issn>
<publisher><publisher-name>Global Journals Publishing Group Incorporated</publisher-name></publisher>
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<article-id pub-id-type="publisher-id">73616</article-id>
<title-group>
<article-title>C-Proeq algorithm for Subcarrier Allocation for WiMAX</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Sunder</surname><given-names>Dr. V. Pradeep</given-names></name><xref ref-type="aff" rid="aff1" />
</contrib>
</contrib-group>
<aff id="aff1">INDIA, Sri Krishna College of Engineering</aff>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2011-12-01">
<day>01</day>
<month>12</month>
<year>2011</year>
</pub-date>
<volume>11</volume>
<issue>I7</issue>
<fpage>33</fpage>
<lpage>37</lpage>
<abstract><p>WiMAX is one of the latest techniques for providing Broadband Wireless Access in metropolitan area. Phenomenal growth in the demand for higher bandwidth increases the importance of subcarrier allocation. WiMAX uses OFDMA techniques based on multiuser diversity such as Adaptive Modulation Coding. Resource Allocation Algorithm improves performance based on user channel condition. Fair Allocation Algorithm maximizes the minimum data rate and allocates equal bandwidth to all users. However this allocation reduces the bandwidth efficiency of the system. In order to overcome this drawback Heuristics allocation such as Proportional Allocation and Equal Capacity Increment are proposed. To improve their performance, both allocations are combined and C-Proeq (Combination of Proportional and Equal capacity increment algorithms) is proposed. The other objective is to share better trade off between bandwidth efficiency and fairness. Performance has been compared on the basis of bit error rate with respect to signal to noise ratio and various user distances from base station.</p></abstract>
<kwd-group kwd-group-type="author-generated">
<kwd>Adaptive Modulation Coding</kwd>
<kwd>Subcarrier allocation</kwd>
<kwd>WiMAX. OFDMA.</kwd>
</kwd-group>
<self-uri content-type="pdf" xlink:href="https://globaljournals.org/GJRE_Volume11/6-C-Proeq-Algorithm-for-Subcarrier-Allocation-fr-Wimax.pdf" />
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<p>WiMAX is one of the latest techniques for providing Broadband Wireless Access in  metropolitan area. Phenomenal growth in the demand for higher bandwidth increases the  importance of subcarrier allocation. WiMAX uses OFDMA techniques based on multiuser  diversity such as Adaptive Modulation Coding. Resource Allocation Algorithm improves  performance based on user channel condition. Fair Allocation Algorithm maximizes the minimum  data rate  and allocates equal bandwidth to all users. However this allocation reduces the  bandwidth efficiency of the system. In order to overcome this drawback Heuristics allocation  such as Proportional Allocation and Equal Capacity Increment are proposed. To improve their  performance, both allocations are combined and C-Proeq (Combination of Proportional and  Equal capacity increment algorithms) is proposed. The other objective is to share better trade off  between bandwidth efficiency and fairness. Performance has been compared on the basis of bit  error rate with respect to signal to noise ratio and various user distances from base station.</p>
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