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Filtering by: Advisor Magana, Mario Remove constraint Advisor: Magana, Mario Committee Member Kim, Jinsub Remove constraint Committee Member: Kim, Jinsub Non-Academic Affiliation Oregon State University. Graduate School Remove constraint Non-Academic Affiliation: Oregon State University. Graduate School

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  • Channel Estimation in TDD MU-MIMO Systems using Sub-Linear Sparse Signal Recovery Algorithms

    Creator:
    Barry, David G.
    Abstract:
    Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communication systems incorporate promising advanced strong technologies for upcoming 5G communications. To obtain some of the high spectrum and energy e ciencies bonuses brought by MU-MIMO systems, the ability to obtain Channel State information, especially on the receiver side (CSI), is important. To minimize...
    Resource Type:
    Masters Thesis
    Full Text:
    : Mario E. Magaña Massive Multiple-User Miltiple-Input Multiple-Output (MU-MIMO) wireless communi

  • Channel Estimation in TDD Massive MIMO Systems with Subsampled Data at BS

    Creator:
    Tian, Yichuan
    Abstract:
    Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel state information at transmitter side (CSIT) is essential. Frequency division duplex (FDD) is widely employed by the most cellular systems today. However, it requires...
    Resource Type:
    Masters Thesis
    Full Text:
    : ______________________________________________________ Mario E. Magaña Massive MIMO is a promising technique for future 5G communications due to

  • Grid Voltage Frequency Estimation Using an Adaptive Complex Master-Slave Unscented Kalman Filter

    Creator:
    Muñoz Constantine, Juan Pablo
    Abstract:
    Due to the popularity of electronically controlled loads and the widespread use of alternative energy sources such as wind turbines and solar cells, the power quality at the distribution level must be carefully monitored. One of the many different means to monitor power quality is through frequency measurements. Nonlinearities cause...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: ______________________________________________________ Mario E. Magaña Due to the