University of Oulu

M. Jahandideh, M. Moltafet, M. Codreanu and M. Latva-Aho, "Low Complexity Sparse Channel Estimation for Wideband mmWave Systems: Multi-Stage Approach," 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakesh, Morocco, 2019, pp. 1-6, doi: 10.1109/WCNC.2019.8885592

Low complexity sparse channel estimation for wideband mmWave systems : multi-stage approach

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Author: Jahandideh, Mojtaba1; Moltafet, Mohammad1; Codreanu, Marian2;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Department of Science and Technology, Linköping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-06-26


We consider the problem of channel estimation in hybrid transceiver architectures operating in millimeter wave (mmWave) band. Due to the dynamic features of the environment and the sensitivity of mmWave bands to blockage and deafness, it is important to estimate mmWave channels with a low complexity and high performance algorithm. In this regard, we exploit the sparse structure of the frequency-selective mmWave channels and formulate the channel estimation problem as a sparse signal reconstruction in frequency domain. In order to solve the estimation problem, we propose a multi-stage based low complexity algorithm. Simulation results show that the proposed algorithm significantly reduces the computational complexity while preserving the quality of the estimation.

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Series: IEEE Wireless Communications and Networking Conference
ISSN: 1525-3511
ISSN-E: 1558-2612
ISSN-L: 1525-3511
ISBN: 978-1-5386-7646-2
ISBN Print: 978-1-5386-7647-9
Pages: 1 - 6
DOI: 10.1109/WCNC.2019.8885592
Host publication: 2019 IEEE Wireless Communications and Networking Conference (WCNC), 15-18 April 2019, Marrakesh, Morocco
Conference: IEEE Wireless Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: This research has been financially supported by Business Finland, Nokia, MediaTek, Bittium, Keysight, and Kyynel (High5 project), Academy of Finland (grant no. 307492), and Academy of Finland 6Genesis Flagship (grant no. 318927). Additionally, M. Moltafet was supported by the Infotech Oulu under the PROVING research project, and M. Codreanu would like to acknowledge the support of the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie Grant Agreement No. 793402 (COMPRESS NETS).
Academy of Finland Grant Number: 307492
Detailed Information: 307492 (Academy of Finland Funding decision)
318927 (Academy of Finland Funding decision)
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