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


IEEE Transactions on Communications, vol.69, no.7, pp.4921-4936, 2021 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 69 Issue: 7
  • Publication Date: 2021
  • Doi Number: 10.1109/tcomm.2021.3071537
  • Journal Name: IEEE Transactions on Communications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication & Mass Media Index, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
  • Page Numbers: pp.4921-4936
  • Keywords: Single-carrier, analog-to-digital converter (ADC), massive MIMO, quantization, one-bit, low-resolution, Ungerboeck, Bussgang theorem, iterative, reduced-state, decision feedback, Rician, spatial correlation, CHANNEL ESTIMATION, SYSTEMS, ADCS, ENERGY, NOISE
  • Middle East Technical University Affiliated: Yes


© 1972-2012 IEEE.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.