Achievable rates for full-duplex massive MIMO systems with low-resolution ADCs/DACs under imperfect CSI environment

Abstract

We investigate the uplink and downlink achievable rates of full-duplex (FD) massive multi-input multi-output (MIMO) systems with low-resolution analog-digital converters/digital-to-analog converters (ADCs/DACs), where maximum ratio combining/maximum ratio transmission (MRC/MRT) processing are adopted and imperfect channel state information (CSI) is assumed. In this paper, the quantization noise is encapsulated as an additive quantization noise model (AQNM). Then, employing the minimum mean-square error (MMSE) channel estimator, approximate expressions of the uplink and downlink achievable rates are derived, based on the analysis of the quantization error, loop interference (LI), and the inter-user interference (IUI). It is shown that the interference and noise can be eliminated by applying power scaling law properly and increasing the number of antennas. Moreover, given the number of antennas, it is found that the uplink and downlink approximate achievable rates will converge to a constant when the number of quantization bit tends to infinity. Therefore, the system performance that can be improved by increasing ADC/DAC resolution is limited, implying that it is reasonable to adopt low-resolution ADCs/DACs in FD massive MIMO systems.

Design and Optimization of Hybrid Precoders in Massive MIMO Systems: Leveraging Low-Resolution ADCs/DACs, Reconfigurable Intelligent Surfaces, and Deep Learning Algorithms

“…Purely Worked on UniQ and not considered NniQ. [11] contributed to achievable rates for full-duplex massive MIMO with low-resolution ADCs/DACs, focusing on system performance. In contrast, our study provides a comprehensive evaluation incorporating quantization error, interference types, and highlights the advantages of power scaling and ADC/DAC resolution adjustments, emphasizing the relevance of low-resolution ADCs/DACs in FD massive MIMO systems.…”

Performance of digital predistorter in system with analogue to digital converter

“…[36] that is used to model the quantised signal mathematically. In recent studies [37–40] AQNM has been applied to study the quantised signal with an arbitrary number of ADC bits. In AQNM, we denote the ADC output that corresponds to input z by $$z_{q}$$ as shown in Figure 1, i.e.…”

Rate Splitting for Massive MIMO Multi-carrier system using Full Duplex Decode and Forward Relay with Hardware Impairments

“…On the other hand, the hardware cost for such a system becomes expensive due to the large number of antenna arrays requirements. In order to reduce the cost, the inexpensive or less efficient transmitter/receiver chain components such as low-resolution ADC, DAC [9], lowcost power amplifiers are preferred. More hardware distortions are introduced to the system because of these less efficient components and their aging over time.…”