1 Ocak 2021 Dergi makalesi Açık Erişim

Thet, Nann Win Moe; Ozdemir, Mehmet Kemal

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Thet, Nann Win Moe</dc:creator>
  <dc:creator>Ozdemir, Mehmet Kemal</dc:creator>
  <dc:date>2021-01-01</dc:date>
  <dc:description>This letter proposes a partial-beam non-orthogonal multiple access (PB-NOMA) system for millimeter wave (mmWave) channels. In the proposed system, the user terminals (UT)s partially belong to different user groups and power-domain partial NOMA (P-NOMA) technique is exploited in their allocated spectrum. While an individual beam serves the UTs in one group, the UTs in the same group, including the overlapped beam UTs, employ the P-NOMA scheme. Overlapped beam UTs are present when two near UTs are closely correlated and when they are equally belonging to two user groups. Fuzzy C-means (FCM) clustering method, which considers the channel correlation coefficient as a similarity measure, is proposed to group the users. Then, user pairing is performed based on the channel gain differences and fuzzy membership values. Simulation results reveal that the sum-rate performance of the proposed PB-NOMA scheme with fuzzy clustering is shown to be better than that of the conventional P-NOMA systems by adjusting overlapped beam ratio (OBR) and lower near UT overlap ratio (NOR) in a preferable group.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/231642</dc:identifier>
  <dc:identifier>oai:aperta.ulakbim.gov.tr:231642</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:source>IEEE WIRELESS COMMUNICATIONS LETTERS 10(6) 1202-1206</dc:source>
  <dc:title>Partial-Beam Non-Orthogonal Multiple Access (PB-NOMA) With Fuzzy Clustering</dc:title>
  <dc:type>info:eu-repo/semantics/article</dc:type>
  <dc:type>publication-article</dc:type>
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