1 Ocak 2022 Konferans bildirisi Açık Erişim

Nayir, Hasan; Karakoca, Erhan; Gorcin, Ali; Qaraqe, Khalid

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{
  "@context": "https://schema.org/", 
  "@id": 252745, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Nayir, Hasan"
    }, 
    {
      "@type": "Person", 
      "name": "Karakoca, Erhan"
    }, 
    {
      "@type": "Person", 
      "name": "Gorcin, Ali"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Texas A&M Univ Qatar, Dept Elect & Comp Engn, Doha, Qatar", 
      "name": "Qaraqe, Khalid"
    }
  ], 
  "datePublished": "2022-01-01", 
  "description": "Frequency scarcity implies the utilization of higher frequencies for wireless communications; however, spreading loss becomes a dominating issue as the frequency increases to the level of and beyond millimeter waves. To this end, massive multiple-input multiple-output structures introduce mitigation alternatives. However, to make these solutions possible, the channel estimation approach strives to be modified: since Rayleigh distance is very short for conventional systems, the only far-field channel is examined in that context. On the other hand, the implementation of massive antenna arrays in high frequencies increases Rayleigh distance; thus, both near-field and far-field analyses become necessary. Instead of a dual estimation process, it would be effective and efficient to develop hybrid-field channel estimation techniques. Therefore, in this study, a new channel estimation method which is based on convolutional autoencoder (CAE) and orthogonal matching pursuit (OMP) approach, is proposed for hybrid channel estimation. The results indicate that the proposed OMP-CAE method has much better error performance when compared to the conventional OMP algorithm, especially at low signal-to-noise ratio regimes.", 
  "headline": "Hybrid-Field Channel Estimation for Massive MIMO Systems based on OMP Cascaded Convolutional Autoencoder", 
  "identifier": 252745, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Hybrid-Field Channel Estimation for Massive MIMO Systems based on OMP Cascaded Convolutional Autoencoder", 
  "url": "https://aperta.ulakbim.gov.tr/record/252745"
}