Performance Analysis of Quantized Uplink Massive MIMO-OFDM with Oversampling under Adjacent Channel Interference

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ÜÇÜNCÜ A. B., Bjornson E., Johansson H., YILMAZ A. Ö., Larsson E. G.

IEEE Transactions on Communications, vol.68, no.2, pp.871-886, 2020 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 68 Issue: 2
  • Publication Date: 2020
  • Doi Number: 10.1109/tcomm.2019.2954512
  • 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.871-886
  • Keywords: OFDM, Uplink, Receivers, Quantization (signal), Channel estimation, Covariance matrices, Oversampling, analog-to-digital converter, interferer, massive MIMO, analysis, quantization, one-bit, low-resolution, uplink, SYSTEMS
  • Middle East Technical University Affiliated: Yes


© 2019 IEEE.Massive multiple-input multiple-output (MIMO) systems have attracted much attention lately due to the many advantages they provide over single-antenna systems. Owing to the many antennas, low-cost implementation and low power consumption per antenna are desired. To that end, massive MIMO structures with low-resolution analog-to-digital converters (ADC) have been investigated in many studies. However, the effect of a strong interferer in the adjacent band on quantized massive MIMO systems have not been examined yet. In this study, we analyze the performance of uplink massive MIMO with low-resolution ADCs under frequency selective fading with orthogonal frequency division multiplexing (OFDM) in the perfect and imperfect receiver channel state information cases. We derive analytical expressions for the bit error rate and ergodic capacity. We show that the interfering band can be suppressed by increasing the number of antennas or the oversampling rate when a zero-forcing receiver is employed.