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Ön-Kodlayici, A Quantized Precoder for MIMO Nicemleme Altinda Çalişan bir MIMO
Date
2023-01-01
Author
Karabacakoǧlu, Yusuf
Üçüncü, Ali Bulut
Karataş, Firat
Güvensen, Gökhan Muzaffer
Metadata
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Massive multiple-input multiple-output (MIMO) systems have become popular in both academic and industrial circles due to their ability to improve spectral and energy efficiency. One cost-effective way to implement these systems is by using low-resolution digital-to-analog converters (DAC) at each antenna of the massive MIMO array. However, using low- resolution DACs can introduce quantization distortion, which can be mitigated using various quantized precoding algorithms proposed in previous studies. This research suggests an iterative distortion-aware precoder that can be used with oversampling DACs in massive MIMO systems. The proposed precoder performs better than existing oversampling precoders with similar computational complexity in terms of error-rate and out-of- band (OOB) emission performances. Furthermore, the proposed detector performs similarly to the ideal unquantized zero-forcing precoder in many presented cases.
Subject Keywords
1-bit DAC
,
massive
,
over-sampling
,
precoder
,
quantization
,
wideband
URI
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85173454807&origin=inward
https://hdl.handle.net/11511/105762
DOI
https://doi.org/10.1109/siu59756.2023.10223754
Conference Name
31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Citation Formats
IEEE
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BibTeX
Y. Karabacakoǧlu, A. B. Üçüncü, F. Karataş, and G. M. Güvensen, “Ön-Kodlayici, A Quantized Precoder for MIMO Nicemleme Altinda Çalişan bir MIMO,” presented at the 31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023, İstanbul, Türkiye, 2023, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85173454807&origin=inward.