On the Channel Estimation Performance of NOMA Systems: Experimental Implementation of Real-Time Downlink NOMA-OFDM

Joana Angjo, Mehmet Mert Tuncer, Ege Akertek, Hakan Alakoca, Mehmet Basaran, Lutfiye Durak-Ata

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

6 Atıf (Scopus)

Özet

Due to the exponential growth in the number of connected devices, the utilization of available resources becomes challenging. To meet this demand, novel techniques with significantly higher gain for efficient spectrum usage and reduced latency are required. Non-orthogonal multiple access (NOMA) is expected to be a promising solution for the scarcity of spectrum resources, which are shared in a non-orthogonal way such that multiple users can access the same frequency and time slots simultaneously. Although many studies concentrate on NOMA, a few of them give insight into how the channel estimation and channel quantization affect the performance of the system. Related to this issue, this study focuses on a downlink NOMA implementation. In the first part, we mainly concentrate on the analysis of the effect of channel estimation and channel quantization on the bit error rate (BER) performance with MATLAB simulations. For the second part, the BER performance of the system is analyzed through a practical two-user downlink NOMA system implemented with software-defined radios (SDRs).

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728171272
DOI'lar
Yayın durumuYayınlandı - 26 May 2020
Etkinlik2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020 - Odessa, Ukraine
Süre: 26 May 202029 May 2020

Yayın serisi

Adı2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020

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???event.eventtypes.event.conference???2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020
Ülke/BölgeUkraine
ŞehirOdessa
Periyot26/05/2029/05/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Finansman

ACKNOWLEDGMENT This work is supported in part by Istanbul Technical University (ITU) Vodafone Future Lab under Project No. ITUVF20191001P07.

FinansörlerFinansör numarası
İTÜ Vodafone Future LabITUVF20191001P07
Istanbul Teknik Üniversitesi

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