University of Oulu

J. He, H. Wymeersch and M. Juntti, "Leveraging Location Information for RIS-Aided mmWave MIMO Communications," in IEEE Wireless Communications Letters, vol. 10, no. 7, pp. 1380-1384, July 2021, doi: 10.1109/LWC.2021.3067474

Leveraging location information for RIS-aided mmWave MIMO communications

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Author: He, Jiguang1; Wymeersch, Henk2; Juntti, Markku1
Organizations: 1Centre for Wireless Communications, FI-90014, University of Oulu, Finland
2Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2021
Publish Date: 2021-04-14


Location information offered by external positioning systems, e.g., satellite navigation, can be used as prior information in the process of beam alignment and channel parameter estimation for reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) multiple-input multiple-output networks. Benefiting from the availability of such prior information, albeit imperfect, the beam alignment and channel parameter estimation processes can be significantly accelerated with less candidate beams explored at all the terminals. We propose a practical channel parameter estimation method via atomic norm minimization, which outperforms the standard beam alignment in terms of both the mean square error and the effective spectrum efficiency for the same training overhead.

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Series: IEEE wireless communications letters
ISSN: 2162-2337
ISSN-E: 2162-2345
ISSN-L: 2162-2337
Volume: 10
Issue: 7
Pages: 1380 - 1384
DOI: 10.1109/LWC.2021.3067474
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This work is supported by Horizon 2020, European Union’s Framework Programme for Research and Innovation, under grant agreement no. 871464 (ARIADNE). This work is also partially supported by the Academy of Finland 6Genesis Flagship (grant 318927) and Swedish Research Council (grant no. 2018-03701).
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 Authors 2021. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see