An Iterative Distortion-Aware Precoding for Quantized Upsampled Wideband Massive MIMO

Date

2023-01-01

Author

Karabacakoǧlu, Yusuf
Üçüncü, Ali Bulut
Güvensen, Gökhan Muzaffer

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Massive multiple-input multiple-output (MIMO) systems have received significant attention in academia and industry for their remarkable advantages regarding spectral and energy efficiency. Employing a pair of low-resolution digital-to-analog converters (DAC) at each antenna of the massive MIMO array is a cost and power efficient implementation scheme for such systems. To mitigate the resulting quantization distortion introduced by low-resolution DAC, various quantized precoding algorithms are proposed in the related literature. This study proposes an iterative distortion-aware precoder that can work with oversampling DACs in massive MIMO systems. We show that the precoder we propose outperforms the existing oversampling precoders of comparable computational complexity in the literature in terms of error-rate and/or out-of-band (OOB) emission performances. We also show that the proposed detector can perform close to the ideal unquantized zero-forcing precoder in many presented cases.

Subject Keywords

1-bit DAC, frequency-selective channel, Iterative precoder, massive MIMO, multi-bit, oversampling, quantization, upsampling, wideband

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85171895041&origin=inward
https://hdl.handle.net/11511/107290

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Department of Electrical and Electronics Engineering, Conference / Seminar