H. Wymeersch, J. He, B. Denis, A. Clemente and M. Juntti, "Radio Localization and Mapping With Reconfigurable Intelligent Surfaces: Challenges, Opportunities, and Research Directions," in IEEE Vehicular Technology Magazine, vol. 15, no. 4, pp. 52-61, Dec. 2020, doi: 10.1109/MVT.2020.3023682
Radio localization and mapping with reconfigurable intelligent surfaces : challenges, opportunities, and research directions
|Author:||Wymeersch, Henk1,2; He, Jiguang3; Denis, Benoît4;|
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
|Online Access:||PDF Full Text (PDF, 1.3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202101181978
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-01-18
5G 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.
IEEE vehicular technology magazine
|Pages:||52 - 61|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
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 (Academy of Finland Funding decision)
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