Ön-Kodlayici, A Quantized Precoder for MIMO Nicemleme Altinda Çalişan bir MIMO

2023-01-01
Karabacakoǧlu, Yusuf
Üçüncü, Ali Bulut
Karataş, Firat
Güvensen, Gökhan Muzaffer
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.
31st IEEE Conference on Signal Processing and Communications Applications, SIU 2023
Citation Formats
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.