A low complexity user selection algorithm for downlink multi-user MIMO systems다중 사용자 다중 안테나 시스템에서 낮은 복잡도를 갖는 사용자 선택 방법에 관한 연구

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Block digitalization (BD) method is well-known to be a suboptimal precoding technique for downlink multiuser multiple-input/multiple-output (MU-MIMO) systems, which perfectly eliminates inter-user interference. In downlink MU-MIMO systems with a large number of users, a user set supported by a base station (BS) may be selected to maximize the total throughput. The optimal user selection algorithm, which requires exhaustive search, is prohibitive due to its high computational complexity in real systems. In this thesis, we propose a user selection algorithm with low complexity, where the product of eigenvalues of effective channels is utilized as a selection metric. For the product of eigenvalues of effective channel matrix at each iteration, we adopt the concept of principal angles between subspaces. Moreover, we extend the proposed algorithm to limited feedback systems. Through computational complexity analysis, we show that the proposed algorithm has low complexity with a little loss in throughput. Contrary to conventional low complex user selection algorithms, the proposed algorithm can be easily applied to proportional fair (PF) scheduling because the selection metric indicates data rate in high SNR regime. Simulation results show that the proposed algorithm achieves almost the same the system throughput of capacity-based algorithm in high SNR regime with considerable reduction in complexity.
Advisors
Han, Young-Namresearcher한영남
Description
한국과학기술원 : 전기및전자공학과,
Publisher
한국과학기술원
Issue Date
2013
Identifier
513267/325007  / 020113191
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 전기및전자공학과, 2013.2, [ v, 38 p. ]

Keywords

Multi-user MIMO; User Selection; 다중 사용자 다중 안테나; 사용자 선택; 블록 대각화; Block Diagonalization

URI
http://hdl.handle.net/10203/181038
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=513267&flag=dissertation
Appears in Collection
EE-Theses_Master(석사논문)
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