A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO

Date

2021-01-01

Author

Üçüncü, Ali Bulut
Güvensen, Gökhan Muzaffer
Yılmaz, Ali Özgür

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Employing low resolution analog-to-digital converters in massive multiple-input multiple-output (MIMO) has many advantages in terms of total power consumption, cost and feasibility. However, such advantages come together with significant challenges in channel estimation and data detection due to the severe quantization noise present. In this study, we first derive linear minimum mean-square-error channel estimator for cyclic-prefix (CP) free single carrier MIMO (SC-MIMO) under frequency-selective channel. Then, we propose a novel iterative receiver for quantized CP-free uplink wideband SC-MIMO for uncorrelated or correlated Rayleigh and Rician fading channels. This detector utilizes an efficient message passing algorithm based on Bussgang decomposition, reduced state sequence estimation and Ungerboeck factorization. Therefore, it achieves remarkable complexity reduction and exhibits significant performance advantages compared to the existing quantized SC-MIMO receivers from the literature.

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103909205&origin=inward
https://hdl.handle.net/11511/90895

Journal

IEEE Transactions on Communications

DOI

https://doi.org/10.1109/tcomm.2021.3071537

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

A. B. Üçüncü, G. M. Güvensen, and A. Ö. Yılmaz, “A Reduced Complexity Ungerboeck Receiver for Quantized Wideband Massive SC-MIMO,” IEEE Transactions on Communications, pp. 0–0, 2021, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103909205&origin=inward.