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035 _a.b12188499
099 9 _aAIT Caps. Proj. no.TC-15-01
100 1 _aSubedi, Prakash
245 1 0 _aOptimal transmit antenna selection and beamforming for massive MIMO communications
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2015
300 _a31 leaves :
_bill. +
_e1 online resource
490 1 _aCaps. Proj. ;
_vno. TC-15-01
500 _aA capstone project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Engineering Telecommunications Engineering, School of Engineering and Technology
502 _aCapstone Project (B. Sc.) - Asian Institute of Technology, 2015
520 _aMassive multiple-input multiple-output (MIMO) is a rising technology that uses a huge number of antennas and is envisioned to provide large network capabilities. This has made massive MIMO a very hot topic of research in wireless communication in recent years. Nevertheless, higher numbers of antennas reqiure higher numbers of radio-frequency (RF) elements which significantly increase the cost and hardware complexities. Antenna selection is a solution for reducing RF chains; however, optimal antenna selection is challenge. This paper proposes a low complexity method for joint selection of the best subset of transmit antenna and beamforming. Another important parameter to be considered for massive MIMO is energy efficiency. Hence, we present a way of joint antenna selection and beamforming with maximal energy efficiency. In addition, we also show which beamforming schemes is the best and performs closest to the optimal beamforming in massive MIMO
650 0 _aWireless communication systems
650 0 _aAntenna arrays
700 0 _aAttaphongse Taparugssanagorn,
_eChairperson
700 0 _aTeerapat Sanguankotchakorn,
_eExamination Committee
700 0 _aMongkol Ekpanyapong,
_eExamination Committee
810 2 _aAsian Institute of Technology.
_tCaps. Proj. ;
_vno. TC-15-01
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B00007
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