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Filtering by: Creator Heikes, Brandon W. Remove constraint Creator: Heikes, Brandon W. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Committee Member Niess, Maggie Remove constraint Committee Member: Niess, Maggie

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  • Location Privacy Preservation for Optimal Sensing in Cognitive Radio Networks

    Creator:
    Grissa, Mohamed
    Abstract:
    Cognitive Radio Networks (CRNs) enable opportunistic access to the licensed channel resources by allowing unlicensed users to exploit vacant channel opportunities. One effective technique through which unlicensed users, often referred to as Secondary Users (SUs), acquire whether a channel is vacant is cooperative spectrum sensing. Despite its effectiveness in enabling...
    Resource Type:
    Masters Thesis
    Full Text:
    decision: B = f(w, b) (2.1) where w = [w1, . . . , wn ]T is the the weights vector calculated by FC

  • Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

    Creator:
    Khalfi, Bassem
    Abstract:
    Besides enabling an enhanced mobile broadband access, fifth-generation (5G) wireless mobile networks are envisioned to support the connectivity of massive, heterogeneous Internet of Things (IoT) devices. Connecting these devices through 5G systems and providing them with their needed data rates require huge amounts of spectrum and power resources, thus calling...
    Resource Type:
    Dissertation

  • Location Privacy-Preserving Strategies for Secondary Spectrum Use

    Creator:
    Grissa, Mohamed
    Abstract:
    The scarcity of wireless spectrum resources and the overwhelming demand for wireless broadband resources have prompted industry, government agencies and academia within the wireless communities to develop and come up with effective solutions that can make additional spectrum available for broadband data. As part of these ongoing efforts, cognitive radio...
    Resource Type:
    Dissertation
    Full Text:
    -Goldberg(`, r , b, t ,w) . . . . . . . . . . . . . . . . . . . . . . . . 148 7 Dβ ← τ -LP -Goldberg(`, r

  • Architectures and algorithms for dynamic overlay networks

    Creator:
    Abdelwahab, Sherif
    Abstract:
    Most of today’s Internet of Things (IoT) applications assume that data will be moved offdevices into centralized cloud platforms. While existing IoT systems leverage cloud-based analytics for meaningful data reasoning, the assumption that data should always be moved off the devices is problematic. The amount of data to be moved...
    Resource Type:
    Dissertation