|
|
Low complexity sparse channel estimation for wideband mmWave systems : multi-stage approach |
|---|---|
| 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) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe2020062645832 |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers,
2019
|
| Publish Date: | 2020-06-26 |
| Description: |
AbstractWe 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. see all
|
| 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 |
| OADOI: | https://oadoi.org/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 |
| Subjects: | |
| 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 318927 |
| Detailed Information: |
307492 (Academy of Finland Funding decision) 318927 (Academy of Finland Funding decision) |
| Copyright information: |
© 2019 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. |