Performance Analysis of Multi-Cell Millimeter Wave Massive MIMO Networks with Low-Precision ADCs
Jindan Xu, Wei Xu, Hua Zhang, Geoffrey Ye Li, Xiaohu You

TL;DR
This paper analyzes the performance of multi-cell mmWave massive MIMO networks with low-precision ADCs, deriving bounds on achievable rates and exploring system tradeoffs through analysis and simulations.
Contribution
It introduces a channel estimation method and derives a tight lower bound on achievable rate considering low-precision ADCs and multiple users in multi-cell mmWave MIMO networks.
Findings
Lower bound on achievable rate becomes tight with more users.
ADC precision significantly impacts system performance at low SNR.
Analytical results are validated by extensive simulations.
Abstract
In this paper, we investigate a multi-cell millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) network with low-precision analog-to-digital converters (ADCs) at the base station (BS). Each cell serves multiple users and each user is equipped with multiple antennas but driven by a single RF chain. We first introduce a channel estimation strategy for the mmWave massive MIMO network and analyze the achievable rate with imperfect channel state information. Then, we derive an insightful lower bound for the achievable rate, which becomes tight with a growing number of users. The bound clearly demonstrates the impacts of the number of antennas and the ADC precision, especially for a single-cell mmWave network at low signal-to-noise ratio (SNR). It characterizes the tradeoff among various system parameters. Our analytical results are finally confirmed by extensive computer…
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Taxonomy
TopicsMillimeter-Wave Propagation and Modeling · Advanced MIMO Systems Optimization · Microwave Engineering and Waveguides
