Title page for etd-0620115-130201


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URN etd-0620115-130201
Author Chang-jen Wang
Author's Email Address No Public.
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Department Communications Engineering
Year 2014
Semester 2
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Study on Multiuser Detection for Massive MIMO with Low-Precision Analog to Digital Converters
Date of Defense 2015-07-13
Page Count 63
Keyword
  • linear minimize mean square error detector
  • addition quantize noise model
  • message-passing de-quantization detector
  • generalized approximated message passing
  • low resolution analog-to-digital converter
  • massive MIMO
  • Abstract In recent year, communication systems are required to be able to serve explosive growth of the large number of data sent by users. Massive multi-input multi-output
    (MIMO) system is a promising technique to reach such demand and has received enormous attention. The technology equips with a large number of receive antennas at the base station. If all the antennas are equipped with high resolution analog-to-digital converters (ADCs), the cost of the base station should be expensive and the power consumption is high, which are adverse to the commercial operation. In this thesis we propose a novel way to solve the problems by using the low resolution ADCs to replace the high resolution ADCs. In particular, we propose a framework for data detection on the massive MIMO system with low resolution ADCs. Our results reveal that the massive MIMO systems with low resolution ADCs can achieve the same performances as those using high resolution ADCs. Consequently, using the low resolution ADCs is a promising approach to decrease the costs and power consumption of the base station.
    Advisory Committee
  • Pang-An Ting - chair
  • Kuang-Hao Liu - co-chair
  • Shang-Ho Tsai - co-chair
  • Wan-Jen Huang - co-chair
  • Chao-Kai Wen - advisor
  • Files
  • etd-0620115-130201.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-07-20

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