CNN-Based Precoder and Combiner Design in mmWave MIMO Systems
| dc.contributor.author | Elbir, Ahmet Musab | |
| dc.date.accessioned | 2020-04-30T22:40:56Z | |
| dc.date.available | 2020-04-30T22:40:56Z | |
| dc.date.issued | 2019 | |
| dc.department | DÜ, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
| dc.description | Elbir, Ahmet M./0000-0003-4060-3781 | en_US |
| dc.description | WOS: 000475331600032 | en_US |
| dc.description.abstract | Hybrid beamformer design is a crucial stage in millimeter-wave (mmWave) MIMO systems. In this letter, we propose a convolutional neural network (CNN) framework for the joint design of precoder and combiners. The proposed network accepts the input of channel matrix and gives the output of analog and baseband beamformers. Previous works are usually based on the knowledge of steering vectors of array responses which is not always accurately available in practice. The proposed CNN framework does not require such a knowledge, and it provides higher performance in capacity compared with the conventional greedy-and optimization-based algorithms. | en_US |
| dc.identifier.doi | 10.1109/LCOMM.2019.2915977 | en_US |
| dc.identifier.endpage | 1243 | en_US |
| dc.identifier.issn | 1089-7798 | |
| dc.identifier.issn | 1558-2558 | |
| dc.identifier.issue | 7 | en_US |
| dc.identifier.scopusquality | Q1 | en_US |
| dc.identifier.startpage | 1240 | en_US |
| dc.identifier.uri | https://doi.org/10.1109/LCOMM.2019.2915977 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12684/3089 | |
| dc.identifier.volume | 23 | en_US |
| dc.identifier.wos | WOS:000475331600032 | en_US |
| dc.identifier.wosquality | Q2 | en_US |
| dc.indekslendigikaynak | Web of Science | en_US |
| dc.indekslendigikaynak | Scopus | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee-Inst Electrical Electronics Engineers Inc | en_US |
| dc.relation.ispartof | Ieee Communications Letters | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | mmWave | en_US |
| dc.subject | MIMO | en_US |
| dc.subject | hybrid beamforming | en_US |
| dc.subject | deep learning | en_US |
| dc.subject | convolutional neural network | en_US |
| dc.title | CNN-Based Precoder and Combiner Design in mmWave MIMO Systems | en_US |
| dc.type | Article | en_US |
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