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Filtering by: Creator Oregon. Game Division Remove constraint Creator: Oregon. Game Division Committee Member Liu, Huaping Remove constraint Committee Member: Liu, Huaping License All rights reserved Remove constraint License: All rights reserved

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  • 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:
    channel state information at transmitter side (CSIT) is essential. Frequency division duplex (FDD) is

  • Side channel attack resistant elliptic curves cryptosystem on multi-cores for power efficiency

    Creator:
    Yoo, Jaewon
    Abstract:
    The Advent of multi-cores allows programs to be executed much faster than before. Cryptoalgorithms use long-bit words thus parallelizing these operations on multi-cores will achieve significant performance improvement. However, not all long-bit word operations in cryptosystems are suitable for parallel execution on multi-cores. In particular, long-bit words used in Elliptic...
    Resource Type:
    Masters Thesis
    Full Text:
    A THESIS submitted to Oregon State University in partial

  • Resource allocation methods for quality-of-service provisioning in heterogeneous wireless networks

    Creator:
    Chakchouk, Nessrine
    Abstract:
    The increased use of mobile wireless devices that we have recently been witnessing, such as smartphones, tablets, e-readers, and WiFi enabled devices in general, is driving an unprecedented increase in the amount of data traffic. This fast market adoption of the wireless technology along with the tremendous success of multimedia...
    Resource Type:
    Dissertation
    Full Text:
    Networks by Nessrine Chakchouk A DISSERTATION submitted to Oregon State University in partial

  • High-speed CMOS dual-modulus presalers for frequency synthesis

    Creator:
    Desikachari, Ranganathan
    Abstract:
    Phase-locked loop (PLL) frequency synthesizers lie at the heart of most radio transceivers. An important objective of the electronics and communications industry is to design high-speed building blocks which dissipate the lowest possible power, and to ac- complish this with the cheapest technology. The dual-modulus prescaler is one of the...
    Resource Type:
    Masters Thesis
    Full Text:
    by Ranganathan Desikachari A THESIS submitted to Oregon State University in partial fulfillment

  • Coordinating secondary-user behaviors for inelastic traffic reward maximization in large-scale DSA networks

    Creator:
    NoroozOliaee, MohammadJavad
    Abstract:
    We develop efficient coordination techniques that support inelastic traffic in large-scale distributed dynamic spectrum access DSA networks. By means of any learning algorithm, the proposed techniques enable DSA users to locate and exploit spectrum opportunities effectively, thereby increasing their achieved throughput (or "rewards" to be more general). Basically, learning algorithms...
    Resource Type:
    Masters Thesis
    Full Text:
    Maximization in Large-S ale DSA Networks by MohammadJavad NoroozOliaee A THESIS submitted to Oregon State

  • Multi-User Massive MIMO Channel Estimation Based on Kalman Filters

    Creator:
    Yao, Zhaoda
    Abstract:
    In wireless communication, channel state information (CSI) is essential for data detection. Fast fading coefficients estimation is important in order to acquire accurate CSI. Kalman filters (KF) are widely used for real time parameter estimation and can be used to estimate the fast fading coefficients of a mobile communication channel....
    Resource Type:
    Masters Thesis
    Full Text:
    Filters by Zhaoda Yao A THESIS submitted to Oregon

  • Opportunistic bandwidth sharing through reinforcement learning

    Creator:
    Venkatraman, Pavithra
    Abstract:
    The enormous success of wireless technology has recently led to an explosive demand for, and hence a shortage of, bandwidth resources. This expected shortage problem is reported to be primarily due to the inefficient, static nature of current spectrum allocation methods. As an initial step towards solving this shortage problem,...
    Resource Type:
    Masters Thesis
    Full Text:
    Oregon State University in partial fulfillment of the requirements for the degree of Master of Science

  • Data driven optimization in SAR ADC

    Creator:
    Leung, Jerry
    Abstract:
    Recent publications show that successive approximation register (SAR) analog to digital converters (ADC) are capable of achieving high efficiency over other ADC topologies. Furthermore, techniques have been adopted to process signals with low activity periods, such as biomedical and industrial sensors. Prior work used least- significant bit first quantization (LSBFQ)...
    Resource Type:
    Masters Thesis
    Full Text:
    by Jerry Leung A THESIS submitted to Oregon State University in partial fulfillment of

  • An ultra low power frequency reference for timekeeping applications

    Creator:
    Oporta, Hector Ivan
    Abstract:
    An ultra low power crystal oscillator that provides a frequency reference for battery powered timekeeping applications is presented. An amplitude control circuit is employed to ensure that minimum current is consumed. A subthreshold voltage regulator provides a supply voltage for the oscillator with minimum current consumption. The oscillator and regulator...
    Resource Type:
    Masters Thesis
    Full Text:
    Applications by Hector Ivan Oporta A THESIS submitted to Oregon State University in partial fulfillment

  • Recognizing human group activities in video through mining optimal features

    Creator:
    Amer, Mohamed R.
    Abstract:
    Given a video, we would like to recognize group activities, localize video parts where these activities occur, and detect actors involved in them. To this and, we propose a novel, mid-level feature, called control point, for representing group activities. The control points are aimed at summarizing visual cues, lifting from...
    Resource Type:
    Masters Thesis
    Full Text:
    through Mining Optimal Features by Mohamed R. Amer A THESIS submitted to Oregon State University in