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Partial-Beam Non-Orthogonal Multiple Access (PB-NOMA) With Fuzzy Clustering

Thet, Nann Win Moe; Ozdemir, Mehmet Kemal


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{
  "@context": "https://schema.org/", 
  "@id": 231642, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Istanbul Medipol Univ, Sch Engn & Nat Sci, TR-34810 Istanbul, Turkey", 
      "name": "Thet, Nann Win Moe"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Istanbul Medipol Univ, Sch Engn & Nat Sci, TR-34810 Istanbul, Turkey", 
      "name": "Ozdemir, Mehmet Kemal"
    }
  ], 
  "datePublished": "2021-01-01", 
  "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.", 
  "headline": "Partial-Beam Non-Orthogonal Multiple Access (PB-NOMA) With Fuzzy Clustering", 
  "identifier": 231642, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Partial-Beam Non-Orthogonal Multiple Access (PB-NOMA) With Fuzzy Clustering", 
  "url": "https://aperta.ulakbim.gov.tr/record/231642"
}
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