Performance of Cell-Free MmWave Massive MIMO Systems with Fronthaul Compression and DAC Quantization

@article{Kim2021PerformanceOC,
  title={Performance of Cell-Free MmWave Massive MIMO Systems with Fronthaul Compression and DAC Quantization},
  author={In-Soo Kim and Junil Choi},
  journal={2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)},
  year={2021},
  pages={1-6}
}
  • In-Soo Kim, Junil Choi
  • Published 25 January 2021
  • Computer Science
  • 2021 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)
In this paper, the zero-forcing (ZF) precoder with max-min power allocation is proposed for cell-free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems using low-resolution digital-to-analog converters (DACs) with limited-capacity fronthaul links. The proposed power allocation aims to achieve max-min fairness on the achievable rate lower bounds of the users obtained by the additive quantization noise model (AQNM), which mimics the effect of low-resolution DACs. To… 

Figures from this paper

Cell-Free MmWave Massive MIMO Systems with Low-Capacity Fronthaul Links and Low-Resolution ADC/DACs
—In this paper, we consider the uplink channel estimation phase and downlink data transmission phase of cell- free millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) systems with
Performance Analysis of Cell-Free mmWave Massive MIMO with Low-Resolution DAC Quantization
  • Seung-Eun Hong
  • Computer Science
    2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)
  • 2021
TLDR
A tight approximate rate expression is derived and analyzed with some simulation results, which provide deep understanding of the impacts from the few-bit quantization as well as channel estimation error on the performance of cell-free mmWave massive MIMO.

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