Oversampling in One-Bit Quantized Massive MIMO Systems and Performance Analysis

ÜÇÜNCÜ A. B., YILMAZ A. Ö.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, vol.17, no.12, pp.7952-7964, 2018 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 12
  • Publication Date: 2018
  • Doi Number: 10.1109/twc.2018.2873300
  • Journal Name: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.7952-7964
  • Keywords: Analog-to-digital converter, channel estimation, massive MIMO, one-bit quantization, performance analysis, temporal oversampling, NARROW-BAND INTERFERENCE, SUPPRESSION, RECEIVER, UPLINK
  • Middle East Technical University Affiliated: Yes

Abstract

Low-resolution analog-to-digital converters (ADCs) have attracted much attention lately for massive multiple-input multiple-output (MIMO) communication and systems with large bandwidth. Especially, 1-bit ADCs are suitable for such systems due to their low-power consumption and cast. In this paper, we illustrate the benefits of using faster than symbol rate (FTSR) sampling in an uplink massive MIMO system with 1-bit ADCs in terms of symbol error rate (SER). We show that the FTSR sampling provides about 5-dB signal-to-noise ratio (SNR) advantage in terms of SER and achievable rate with a linear zeroforcing-type receiver. We also develop analytical bounds on the SER and achievable rate performance of uplink massive MIMO structures with 1-bit quantization for the FTSR scenario for the whole SNR region. The proposed analytical hound holds not only for the FTSR case but also to yield more accurate results compared with some other analytical expressions in the literature. Our results establish a tradeoff between temporal oversampling and the number of receive antennas.