University of Oulu

J. He, F. Jiang, K. Keykhosravi, J. Kokkoniemi, H. Wymeersch and M. Juntti, "Beyond 5G RIS mmWave Systems: Where Communication and Localization Meet," in IEEE Access, vol. 10, pp. 68075-68084, 2022, doi: 10.1109/ACCESS.2022.3186510

Beyond 5G RIS mmWave systems : where communication and localization meet

Saved in:
Author: He, Jiguang1,2; Jiang, Fan; Keykhosravi, Kamran3;
Organizations: 1Technology Innovation Institute, Abu Dhabi, United Arab Emirates
2Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
3Department of Electrical Engineering, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.5 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022082956567
Language: English
Published: Institute of Electrical and Electronics Engineers, 2022
Publish Date: 2022-08-29
Description:

Abstract

Upcoming beyond fifth generation (5G) communications systems aim at further enhancing key performance indicators and fully supporting brand-new use cases by embracing emerging techniques, e.g., reconfigurable intelligent surface (RIS), integrated communication, localization, and sensing, and mmWave/THz communications. The wireless intelligence empowered by state-of-the-art artificial intelligence techniques has been widely considered at the transceivers, and now the paradigm is deemed to be shifted to the smart control of radio propagation environment by virtue of RISs. In this paper, we argue that to harness the full potential of RISs, localization and communication must be tightly coupled. This is in sharp contrast to 5G and earlier generations, where localization was a minor additional service. To support this, we first introduce the fundamentals of RIS mmWave channel modeling, followed by RIS channel state information acquisition and link establishment. Then, we deal with the connection between localization and communications, from a separate and joint perspective.

see all

Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 10
Pages: 68075 - 68084
DOI: 10.1109/access.2022.3186510
OADOI: https://oadoi.org/10.1109/access.2022.3186510
Type of Publication: A2 Review article in a scientific journal
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Funding: This work was supported in part by the Horizon 2020, European Union’s Framework Programme for Research and Innovation, ARIADNE, under Agreement 871464; in part by the Academy of Finland 6Genesis Flagship under Grant 318927; in part by the Swedish Research Council under Grant 2018-03701; and in part by the EU H2020 RISE-6G Project under Grant 101017011.
EU Grant Number: (871464) ARIADNE - Artificial Intelligence Aided D-band Network for 5G Long Term Evolution
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © The Author(s) 2022. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
  https://creativecommons.org/licenses/by/4.0/