English

Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints

Information Theory 2021-12-06 v1 Signal Processing math.IT

Abstract

We consider a fully digital massive multiple-input multiple-output architecture with low-resolution analog-to-digital/digital-to-analog converters (ADCs/DACs) at the base station (BS) and analyze the performance trade-off between the number of BS antennas, the resolution of the ADCs/DACs, and the bandwidth. Assuming a hardware power consumption constraint, we determine the relationship between these design parameters by using a realistic model for the power consumption of the ADCs/DACs and the radio frequency chains. Considering uplink pilot-aided channel estimation, we build on the Bussgang decomposition to derive tractable expressions for uplink and downlink ergodic achievable sum rates. Numerical results show that the ergodic performance is boosted when many BS antennas with very low resolution (i.e., 2 to 3 bits) are adopted in both the uplink and the downlink.

Keywords

Cite

@article{arxiv.2112.02021,
  title  = {Low-Resolution Massive MIMO Under Hardware Power Consumption Constraints},
  author = {Italo Atzeni and Antti Tölli and Giuseppe Durisi},
  journal= {arXiv preprint arXiv:2112.02021},
  year   = {2021}
}

Comments

Presented at the Asilomar Conference on Signals, Systems, and Computers 2021, Nov. 2021

R2 v1 2026-06-24T08:03:26.555Z