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Filtering by: Creator Mohamed, Osama H. Remove constraint Creator: Mohamed, Osama H. Committee Member Chen, Lizhong Remove constraint Committee Member: Chen, Lizhong

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  • 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:
    AN ABSTRACT OF THE DISSERTATION OF Mohamed Grissa for the

  • 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:
    Cognitive Radio Networks AN ABSTRACT OF THE THESIS OF Mohamed Grissa for the degree of Master of

  • A Blockchains-Enabled Protocol for Distributed IoT Resource Sharing On-Demand

    Creator:
    Al-kalbani, Mohamed A.
    Abstract:
    In this thesis, we propose a Blockchain-based distributed protocol for enabling deployment of dynamic, on-demand IoT networks. Specifically, the proposed protocol leverages Blockchain technology to: (i) enable distributed and secure authentication, registration, and management of IoT devices; (ii) provide fast discovery of IoT resources and scalable and secure instantiation of...
    Resource Type:
    Masters Thesis
    Full Text:
    thesis.dvi AN ABSTRACT OF THE THESIS OF Mohamed Al-kalbani

  • Leveraging Multiple Transmissions and Receptions for Channel-Agnostic Wireless Device Identification

    Creator:
    Basha, Nora
    Abstract:
    Enabling accurate and automated identification of wireless devices is critical for ensuring secure and authenticated data communication in large-scale networks such as IoT networks. In the aim of devising practical identification techniques that are immune to spoofing, hardware-driven RF fingerprinting using deep neural networks, which leverages the inevitable presence of...
    Resource Type:
    Masters Thesis
    Full Text:
    antennas sending an STBC signal over a flat fading channel defined by the L×M channel matrix H. STBC

  • Delay-Aware Resource Management Frameworks for Intelligent Vehicular Networks

    Creator:
    Almasari, Shahad A.
    Abstract:
    Autonomous vehicles bring great societal benefits but also potential impact and disruption to road safety, traffic congestion, and driving behaviors. One important technology that is indispensable to the success of such systems is vehicular networks. Vehicular networks provide the backbone for ensuring communication and connectivity among vehicles, all crucial to...
    Resource Type:
    Masters Thesis

  • Leveraging Compressive Sampling and Machine Learning for Adaptive and Cooperative Wideband Spectrum Sensing

    Creator:
    Zaid, Adem
    Abstract:
    This thesis proposes a novel technique that exploits spectrum occupancy behaviors inherent to wideband spectrum access to enable efficient cooperative spectrum sensing. The proposed technique reduces the number of required sensing measurements while accurately recovering spectrum occupancy information. It does so by leveraging compressive sampling theory to exploit the block-like...
    Resource Type:
    Masters Thesis
    Full Text:
    leads 25 0 100 200 300 400 500 Time Index 0 100 200 300 S en si n g O v er h ea d Proposed

  • 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

  • Energy-Aware Gossip Techniques for Wireless Broadcasting

    Creator:
    Li, Tingzhi
    Abstract:
    The current state of research on gossip techniques for wireless broadcasting is very limited because past research efforts have mostly focused on using gossip techniques for multicast communication. On the other hand, those research efforts that have focused on using gossip techniques for wireless broadcast communications ignore energy efficiency and...
    Resource Type:
    Masters Thesis

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    Details of the PointConvFormer Operation. h(pi − p) : R3 7→ Rk×cmid and ψ(Xpi − Xp) : Rcin 7→R are