DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 최준일 | - |
dc.contributor.author | Lee, Gyoseung | - |
dc.contributor.author | 이교승 | - |
dc.date.accessioned | 2024-07-26T19:31:14Z | - |
dc.date.available | 2024-07-26T19:31:14Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1051068&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/321048 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2023.2,[ii, 22 p. :] | - |
dc.description.abstract | In this paper, a channel estimation technique for reconfigurable intelligent surface (RIS)-aided multi-user multiple-input single-output communication systems is proposed. By deploying a small number of active elements at the RIS, the RIS can receive and process the training signals. Through the partial channel state information (CSI) obtained from the active elements, the overall training overhead to estimate the entire channel can be dramatically reduced. To minimize the estimation complexity, the proposed technique is based on the linear combination of partial CSI, which only requires linear matrix operations. By exploiting the spatial correlation among the RIS elements, proper weights for the linear combination and normalization factors are developed. Numerical results show that the proposed technique outperforms other schemes using the active elements at the RIS in terms of the normalized mean squared error and the sum rate performance when the number of active elements is small, which is necessary to maintain the low cost and power consumption of RIS. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | 재구성 가능한 지능형 표면▼a능동 소자▼a채널 추정▼a학습 오버헤드▼a다중 유저 다중 입력 단일 출력 | - |
dc.subject | Reconfigurable intelligent surface (RIS)▼aActive element▼aChannel estimation▼aTraining overhead▼aMulti-user multiple-input single-output (MU-MISO) | - |
dc.title | Channel estimation for reconfigurable intelligent surface with a few active elements | - |
dc.title.alternative | 소수의 능동 소자를 포함한 재구성 가능한 지능형 표면을 위한 채널 추정 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Choi, Junil | - |
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