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

• Published in: IEEE transactions on signal processing 2018-06, Vol.66 (11), p.2984-2997
• Main Authors: Chuili Kong, Mezghani, Amine, Caijun Zhong, Swindlehurst, A. Lee, Zhaoyang Zhang
• Format: Article
• Language: English
• Subjects: Antenna arrays; Channel estimation; Covariance matrices; Massive MIMO; MIMO communication; one-bit quantization; power allocation; Quantization (signal); Relays; Training
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2018.2816585

This paper considers a multipair amplify-and-forward massive multipair multiple-input multiple-output relaying system with one-bit analog-to-digital converters and one-bit digital-to-analog converters 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 nonquantized system is a moderate factor of 4/π 2 in the low power regime.