Achievable Rates for Full-Duplex Massive MIMO Systems With Low-Resolution ADCs/DACs

• Main Authors: Jianxin Dai, Juan Liu, Jiangzhou Wang, Junxi Zhao, Chonghu Cheng, Jin-Yuan Wang
• Format: Article
• Language: English
• Published: IEEE 2019-01-01
• Series: IEEE Access
• Subjects: Full-duplex; low-resolution ADCs/DACs; quantization error; achievable rate; additive quantization noise model
• Online Access: https://ieeexplore.ieee.org/document/8643916/

This paper investigates the uplink and downlink achievable rates of full-duplex (FD) massive multi-input-multi-output (MIMO) systems in which low-resolution analog-to-digital converters/digital-to-analog converters (ADCs/DACs) are employed and maximum ratio combining/maximum ratio transmission processing are adopted. Then, employing an additive quantization noise model, we derive approximate expressions of the uplink and downlink achievable rates, in which the effect of the quantization error, the loop interference, and the inter-user interference is considered. The theoretical results show that using proper power scaling law and more antennas can eliminate the interference and the noise. Furthermore, under the fixed number of antennas, the uplink and downlink approximate achievable rates will become a constant, as the number of quantization bits tends to infinity. Increasing the resolution of ADCs/DACs will limitedly improve the system performance but cause excessive overhead and power consumption, so adopting low-resolution ADCs/DACs in FD massive MIMO systems is sensible.