Hybrid-Field Channel Estimation for Massive MIMO Systems based on OMP Cascaded Convolutional Autoencoder

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

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

5 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2022 IEEE 96th Vehicular Technology Conference, VTC 2022-Fall 2022 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781665454681
DOI'lar
Yayın durumuYayınlandı - 2022
Harici olarak yayınlandıEvet
Etkinlik96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022 - London, United Kingdom
Süre: 26 Eyl 202229 Eyl 2022

Yayın serisi

AdıIEEE Vehicular Technology Conference
Hacim2022-September
ISSN (Basılı)1550-2252

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???event.eventtypes.event.conference???96th IEEE Vehicular Technology Conference, VTC 2022-Fall 2022
Ülke/BölgeUnited Kingdom
ŞehirLondon
Periyot26/09/2229/09/22

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Publisher Copyright:
© 2022 IEEE.

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