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 dil | İngilizce |
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Ana bilgisayar yayını başlığı | 2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9781728171272 |
DOI'lar | |
Yayın durumu | Yayınlandı - 26 May 2020 |
Etkinlik | 2020 IEEE International Black Sea Conference on Communications and Networking, BlackSeaCom 2020 - Odessa, Ukraine Süre: 26 May 2020 → 29 May 2020 |
Yayın serisi
Adı | 2020 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 |
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Ülke/Bölge | Ukraine |
Şehir | Odessa |
Periyot | 26/05/20 → 29/05/20 |
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.
Finansörler | Finansör numarası |
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İTÜ Vodafone Future Lab | ITUVF20191001P07 |
Istanbul Teknik Üniversitesi |