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Radio localization and mapping with reconfigurable intelligent surfaces : challenges, opportunities, and research directions |
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| Author: | Wymeersch, Henk1,2; He, Jiguang3; Denis, Benoît4; |
| Organizations: |
1Department of Electrical Engineering, Chalmers University of Technology, Sweden 2Eindhoven University of Technology, The Netherlands 3Center for Wireless Communications, University of Oulu, Finland
4CEALETI, Grenoble, France
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| Format: | article |
| Version: | accepted version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 1.3 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202101181978 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2020
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| Publish Date: | 2021-01-18 |
| Description: |
Abstract5G radio for millimeter-wave (mm-wave) and beyond5G concepts at 0.1–1 THz can exploit angle and delay measurements for localization through an increased bandwidth and large antenna arrays, but they are limited in terms of blockage caused by obstacles. Reconfigurable intelligent surfaces (RISs) are seen as a transformative technology that can control the physical propagation environment in which they are embedded by passively reflecting radio waves in preferred directions and actively sensing this environment in receive and transmit modes. While such RISs have mainly been intended for communication purposes, they can provide great benefits in terms of performance, energy consumption, and cost for localization and mapping. These benefits as well as associated challenges are the main topics of this article. see all
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| Series: |
IEEE vehicular technology magazine |
| ISSN: | 1556-6072 |
| ISSN-E: | 1556-6080 |
| ISSN-L: | 1556-6072 |
| Volume: | 15 |
| Issue: | 4 |
| Pages: | 52 - 61 |
| DOI: | 10.1109/MVT.2020.3023682 |
| OADOI: | https://oadoi.org/10.1109/MVT.2020.3023682 |
| Type of Publication: |
A1 Journal article – refereed |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
Henk Wymeersch was supported by the Swedish Research Council, under grant 2018-03701. The work of Jiguang He and Markku Juntti was supported, in part, by the IIoT Connectivity for Mechanical Systems project and the 6Genesis Flagship (grant 318927), both of which are funded by the Academy of Finland. Their work was also underwritten, in part, by Horizon 2020, the European Union’s framework program for research and innovation, under grant 871464. |
| 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: |
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |