Multipair Massive MIMO Relaying Systems with One-Bit ADCs and DACs

Abstract

This paper considers a multipair amplify-and-forward massive MIMO relaying system with one-bit ADCs and one-bit DACs at the relay. The channel state information is estimated via pilot training, and then utilized by the relay to perform simple maximum-ratio combining/maximum-ratio transmission processing. Leveraging on the Bussgang decomposition, an exact achievable rate is derived for the system with correlated quantization noise. Based on this, a closed-form asymptotic approximation for the achievable rate is presented, thereby enabling efficient evaluation of the impact of key parameters on the system performance. Furthermore, power scaling laws are characterized to study the potential energy efficiency associated with deploying massive one-bit antenna arrays at the relay. In addition, a power allocation strategy is designed to compensate for the rate degradation caused by the coarse quantization. Our results suggest that the quality of the channel estimates depends on the specific orthogonal pilot sequences that are used, contrary to unquantized systems where any set of orthogonal pilot sequences gives the same result. Moreover, the sum rate gap between the double-quantized relay system and an ideal non-quantized system is a moderate factor of $4/{\pi }^2$ in the low power regime.

14 pages, 10 figures, submitted to IEEE Trans. Signal Processing

References in corpus (12)

• Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems
• Throughput Analysis of Massive MIMO Uplink with Low-Resolution ADCs
• Uplink Achievable Rate for Massive MIMO with Low-Resolution ADC
• Uplink Performance of Wideband Massive MIMO with One-Bit ADCs
• On the Spectral Efficiency of Massive MIMO Systems with Low-Resolution ADCs
• Sum-Rate and Power Scaling of Massive MIMO Systems with Channel Aging
• MMSE precoder for massive MIMO using 1-bit quantization
• Mixed-ADC Massive MIMO Uplink in Frequency-Selective Channels
• Achievable Uplink Rates for Massive MIMO with Coarse Quantization
• Optimal Design of Energy and Spectral Efficiency Tradeoff in One-Bit Massive MIMO Systems
• Spectral shaping with low resolution signals
• Power- and Spectral Efficient Communication System Design Using 1-Bit Quantization

Cited by in corpus (10)

• Efficient Nonlinear Precoding for Massive MU-MIMO Downlink Systems with 1-Bit DACs
• Mixed-ADC/DAC Multipair Massive MIMO Relaying Systems: Performance Analysis and Power Optimization
• Differential Modulation in Massive MIMO With Low-Resolution ADCs
• Finite-Alphabet Precoding for Massive MU-MIMO with Low-resolution DACs
• Spectral and Energy Efficiency of Multicell Massive MIMO With Variable-Resolution ADCs Over Correlated Rayleigh Fading Channels
• Eigen-Inference Precoding for Coarsely Quantized Massive MU-MIMO System with Imperfect CSI
• Supervised-Learning for Multi-Hop MU-MIMO Communications with One-Bit Transceivers
• Differential Deep Detection in Massive MIMO With One-Bit ADC
• Sinusoidal Parameter Estimation from Signed Measurements via Majorization-Minimization Based RELAX
• Spatially Correlated Massive MIMO Relay Systems with Low-Resolution ADCs