DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 박현철 | - |
dc.contributor.author | Jee, Jeongju | - |
dc.contributor.author | 지정주 | - |
dc.date.accessioned | 2024-08-08T19:31:41Z | - |
dc.date.available | 2024-08-08T19:31:41Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1100084&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/322178 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2024.2,[vi, 118 p. :] | - |
dc.description.abstract | We address the beamforming design problem for multi-input multi-output (MIMO) communication systems with hardware impairments. Most beamforming technologies for wireless communication systems are designed assuming that transceiver hardware is ideal. However, a practical hardware behaves differently from ideal mathematical modeling, and these differences cause degradation of communication performance. In particular, the nonlinearity of the power amplifier is a major impairment which causes interference between data streams and distorts the beam pattern, deteriorating the performance of beamforming technique. In this paper, we aim to design beamforming considering nonlinearity in order to improve communication performance which is affected by nonlinearity of power amplifiers. Specifically, 1) a beamforming technique for nonlinear MISO systems, 2) a beamforming technique for nonlinear multi-user MIMO systems, 3) a cooperative beamforming technique for nonlinear distributed networks, 4) a joint channel estimation, feedback and beamforming technique were developed. A mathematical analysis of the system is provided to determine the characteristics of nonlinear MISO and MIMO systems, and a deep learning-based methodology is applied to design a complicated distributed network and closed-loop FDD system. It is confirmed that the performance of a wireless system with nonlinear power amplifiers can be dramatically improved through the proposed techniques. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | MIMO wireless communications▼aBeamforming design▼aMachine learning▼aNonlinear power amplifiers▼aHardware impairments | - |
dc.subject | 다중 안테나 무선 통신▼a빔포밍 설계▼a기계 학습▼a비선형 전력 증폭기▼a하드웨어 불완전성 | - |
dc.title | Deep learning-based beamforming design for MIMO systems with hardware impairments | - |
dc.title.alternative | 하드웨어 불완전성이 존재하는 다중 안테나 시스템을 위한 심층학습 기반 빔포밍 설계 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Park, Hyuncheol | - |
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