Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 김선우 | - |
dc.date.accessioned | 2022-07-29T01:34:56Z | - |
dc.date.available | 2022-07-29T01:34:56Z | - |
dc.date.issued | 2020-10 | - |
dc.identifier.citation | IEEE ACCESS, v. 8, page. 185688-185697 | en_US |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9216101 | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/171929 | - |
dc.description.abstract | Beamspace multiple-input multiple-output (MIMO) systems employ beam selection algorithms based on the sparsity of the beamspace channel to reduce the number of radio-frequency chains required in multi-user systems. In this article, we address the problem of selecting multiple beams to each user. Specifically, we propose a beam selection scheme subject to signal to interference plus noise ratio (SINR) maximization. The proposed beamspace beam selection algorithm is developed in two stages. In the first stage, each user is assigned a non-overlapping beam determined by Kuhn-Munkres assignment algorithm. In the second stage, the selected beams in the previous stage are augmented with additional beams from an M-dominant beam set subject to a sum-rate maximization criterion. The performance of the proposed scheme is verified by simulations, and the results show a near-optimal performance in terms of the achievable sum-rate. Also, a significant improvement in terms of energy efficiency is achieved compared to the conventional beam selection scheme. | en_US |
dc.description.sponsorship | This work was supported in part by the Korea Institute of Energy Technology Evaluation and Planning (KETEP) Grant funded by the Korea Government Ministry of Trade, Industry and Energy through the Human Resources Development Program under Grant 20194010201860, in part by the Institute of Information and Communications Technology Planning Evaluation (IITP) Grant funded by the Korea Government [Ministry of Science and ICT (MSIT)] (5G Open Intelligence-Defined RAN (ID-RAN) Technique based on 5G New Radio) under Grant 2018-0-01659, and in part by the National Research Foundation of Korea (NRF) funded by the Ministry of Education through the Basic Science Research Program under Grant 2020R1I1A1A01073438. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Beamspace | en_US |
dc.subject | massive MIMO | en_US |
dc.subject | millimeter wave communications | en_US |
dc.subject | multi-user interference | en_US |
dc.subject | beam selection | en_US |
dc.subject | beamforming | en_US |
dc.title | SINR Maximization Beam Selection for mmWave Beamspace MIMO Systems | en_US |
dc.type | Article | en_US |
dc.relation.volume | 8 | - |
dc.identifier.doi | 10.1109/ACCESS.2020.3029257 | - |
dc.relation.page | 185688-185697 | - |
dc.relation.journal | IEEE ACCESS | - |
dc.contributor.googleauthor | Orikumhi, Igbafe | - |
dc.contributor.googleauthor | Kang, Jeongwan | - |
dc.contributor.googleauthor | Jwa, Hyekyung | - |
dc.contributor.googleauthor | Na, Jee-Hyeon | - |
dc.contributor.googleauthor | Kim, Sunwoo | - |
dc.relation.code | 2020045465 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | remero | - |
dc.identifier.orcid | https://orcid.org/0000-0002-7055-6587 | - |
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