English

Extremely Large-Scale MIMO: Fundamentals, Challenges, Solutions, and Future Directions

Information Theory 2023-04-07 v2 Signal Processing math.IT

Abstract

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is a promising technology to empower the next-generation communications. However, XL-MIMO, which is still in its early stage of research, has been designed with a variety of hardware and performance analysis schemes. To illustrate the differences and similarities among these schemes, we comprehensively review existing XL-MIMO hardware designs and characteristics in this article. Then, we thoroughly discuss the research status of XL-MIMO from "channel modeling", "performance analysis", and "signal processing". Several existing challenges are introduced and respective solutions are provided. We then propose two case studies for the hybrid propagation channel modeling and the effective degrees of freedom (EDoF) computations for practical scenarios. Using our proposed solutions, we perform numerical results to investigate the EDoF performance for the scenarios with unparallel XL-MIMO surfaces and multiple user equipment, respectively. Finally, we discuss several future research directions.

Keywords

Cite

@article{arxiv.2209.12131,
  title  = {Extremely Large-Scale MIMO: Fundamentals, Challenges, Solutions, and Future Directions},
  author = {Zhe Wang and Jiayi Zhang and Hongyang Du and Wei E. I. Sha and Bo Ai and Dusit Niyato and Mérouane Debbah},
  journal= {arXiv preprint arXiv:2209.12131},
  year   = {2023}
}

Comments

8 pages, 6 figures, to appear in IEEE Wireless Communications

R2 v1 2026-06-28T02:02:10.342Z