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Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Ding, Yacong. |
| 단체저자명 | University of California, San Diego. Electrical Engineering (Communication Theory and Systems). |
| 서명/저자사항 | Channel Estimation for Massive MIMO Systems Based on Sparse Representation and Sparse Signal Recovery. |
| 발행사항 | [S.l.] : University of California, San Diego., 2018 |
| 발행사항 | Ann Arbor : ProQuest Dissertations & Theses, 2018 |
| 형태사항 | 194 p. |
| 소장본 주기 | School code: 0033. |
| ISBN | 9780438169005 |
| 일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Bhaskar D. Rao. |
| 요약 | Massive multiple-input multiple-output (MIMO) is a promising technology for next generation communication systems, where the base station (BS) is equipped with a large number of antenna elements to serve multiple user equipments. With the large |
| 요약 | To reduce the training and feedback overhead, compressive sensing methods and sparse recovery algorithms are proposed to robustly estimate the downlink and uplink channel by exploiting the sparse representation of the massive MIMO channel. Previ |
| 일반주제명 | Electrical engineering. |
| 언어 | 영어 |
| 기본자료 저록 | Dissertation Abstracts International79-12B(E). Dissertation Abstract International |
| 대출바로가기 | http://www.riss.kr/pdu/ddodLink.do?id=T14998690 |
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| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00028069 | 621.3 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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