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  <titleInfo>
    <title>Optimal transmit antenna selection and beamforming for massive MIMO communications</title>
  </titleInfo>
  <name type="personal">
    <namePart>Subedi, Prakash</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Attaphongse Taparugssanagorn</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Teerapat Sanguankotchakorn</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Mongkol Ekpanyapong</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">series</genre>
  <genre authority="marc">technical report</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
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    <place>
      <placeTerm type="text">Pathum Thani, Thailand</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>2015</dateIssued>
    <issuance>continuing</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>31 leaves : ill.  + 1 online resource</extent>
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  <abstract>Massive 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</abstract>
  <note>A 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</note>
  <note>Capstone Project (B. Sc.) - Asian Institute of Technology, 2015</note>
  <subject authority="lcsh">
    <topic>Wireless communication systems</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Antenna arrays</topic>
  </subject>
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    <titleInfo>
      <title>Caps. Proj. ; no. TC-15-01</title>
    </titleInfo>
    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
      <namePart/>
    </name>
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  <identifier type="uri">http://203.159.5.9/ait-thesis/detail.php?q=B00007</identifier>
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    <url displayLabel="Full-Text">http://203.159.5.9/ait-thesis/detail.php?q=B00007</url>
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    <recordCreationDate encoding="marc">170807</recordCreationDate>
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