Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems

Abstract

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting the nonlinear one-bit quantization using a linear expression, we first derive a simple and insightful expression for the linear minimum mean-square-error (LMMSE) channel estimator. Then employing this channel estimator, we derive a closed-form expression for the lower bound of the achievable rate for the maximum ratio combiner (MRC) receiver. Numerical results are presented to verify our analysis and show that our proposed LMMSE channel estimator outperforms the near maximum likelihood (nML) estimator proposed previously.

arXiv comment5 pages, 2 figures, the Ninth IEEE Sensor Array and Multichannel Signal Processing Workshop

References in corpus (2)

• Capacity Analysis of One-Bit Quantized MIMO Systems with Transmitter Channel State Information
• Massive MIMO with 1-bit ADC

Cited by in corpus (8)

• Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
• Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
• Resolution-Adaptive Hybrid MIMO Architectures for Millimeter Wave Communications
• Achievable Uplink Rates for Massive MIMO with Coarse Quantization
• On the Mean Square Error Optimal Estimator in One-Bit Quantized Systems
• Beamforming with Multiple One-Bit Wireless Transceivers
• Massive MIMO with Dense Arrays and 1-bit Data Converters
• Capacity of Multiple One-Bit Transceivers in a Rayleigh Environment