Cell clustering method based on SINR constraints for network MIMO systems = 네트워크 MIMO 시스템에서 SINR 제한 조건에 기반을 둔 셀 형성 기법

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In this thesis, we deal with a new cell clustering problem subject to SINR constraints in downlink network MIMO systems, where multiple BSs cooperate for joint processing as forming a cluster. The considered clustering problem is to find the cluster set that minimizes the maximum number of the cooperative BSs with SINR constraints. Generally, since a downlink problem is more difficult than a uplink problem, we first solve the clustering problem in uplink network MIMO systems. The way to find the cluster set is a cluster extension approach. For this purpose, we prove the SINR improvement resulting from the cluster extension when the maxSINR receiver filter is used. Based on this result, we propose the efficient cell clustering algorithm in the uplink systems, and we can find the appropriate cluster set in a way that extends a cluster. Next, we consider the sum-rate maximization problem with the transmit power constraints to find the transmit beamforming vectors in dowlink systems. This research is for the downlink cell clustering algorithm. Using the uplink-downlink SINR duality, we first derive the dual optimization problem, which is the virtual uplink sum-rate maximization problem with regard to the beamforming vectors and the virtual uplink power vector. Next, we derive the virtual uplink power as the fixed point iteration form, and we can find the virtual uplink power vector and the beamforming vectors using the proposed iterative algorithm. Finally, using the results of the proposed uplink clustering algorithm and the sum-rate maximization transmit filter, we can propose a cell clustering algorithm in the downlink network MIMO systems. Based on the the uplink-downlink SINR duality, we first investigate the feature of the cluster extension in uplink and downlink domain, and we can notice that using the proposed uplink clustering algorithm is the way that the SINR always increases in downlink domain as a cluster is extended. Next, we update the virtual up...
Advisors
Park, Dong-Joresearcher박동조
Description
한국과학기술원 : 전기및전자공학과,
Publisher
한국과학기술원
Issue Date
2014
Identifier
591818/325007  / 020085259
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 전기및전자공학과, 2014.8, [ viii, 128 p. ]

Keywords

Network MIMO systems; 상향링크-하향링크 SINR 듀얼리티; 섬레이트 최대화; 셀 군집화 알고리즘; 기지국간의 협력 기법; 다수 셀 시스템; multicell systems; BS cooperation; cell clustering algorithm; sum-rate maximization; uplink-downlink SINR duality; 네트워크 MIMO 시스템

URI
http://hdl.handle.net/10203/196584
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=591818&flag=dissertation
Appears in Collection
EE-Theses_Ph.D.(박사논문)
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