6G Wireless Channel Measurements and Models: Trends and Challenges

By Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao, X. You, Yang Hao. IEEE Vehicular Technology Magazine, 2020

503 citations recorded by the source corpus.

In this article, we present our vision of the application scenarios, performance metrics, and potential key technologies of 6G wireless communication networks. We then comprehensively survey 6G wireless channel measurements, characteristics, and models for all frequency bands and all scenarios, focusing on millimeter-wave (mm-wave), terahertz, and optical wireless communication channels under all spectra; satellite, unmanned aerial vehicle (UAV), maritime, and underwater acoustic communication channels under global coverage scenarios; and high-speed train (HST), vehicle-to-vehicle (V2V), ultra-massive multiple-input, multiple-output (MIMO), orbital angular momentum (OAM), and industry Internet of Things (IoT) communication channels under full application scenarios. We also provide future research challenges of 6G channel measurements, a general standard 6G channel model framework, and models for intelligent reflection surface (IRS)-based 6G technologies and artificial intelligence (AI)-enabled channel measurements and models.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/e1c83c09f0bd3abc105edb64aaba06f8648dd721

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Chong Han
  2. Andreas F. Molisch
  3. Madhusanka Liyanage
  4. Thomas Kürner
  5. Moe Z. Win

In Electrical and Electronic Engineering

  1. Chong Han
  2. Andreas F. Molisch
  3. Naveed A. Abbasi
  4. Madhusanka Liyanage
  5. Quoc-Viet Pham
  6. Thomas Kürner
  7. Yiqin Wang
  8. Yi Chen

Citations in the corpus