Search Constraints

Start Over
Filtering by: Has journal IEEE Communications Letters Remove constraint Has journal: IEEE Communications Letters Advisor Hamdaoui, Bechir Remove constraint Advisor: Hamdaoui, Bechir Committee Member Chen, Lizhong Remove constraint Committee Member: Chen, Lizhong

Search Results

  • 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:
    maximization in multichannel sensor networks. IEEE Transactions on Wireless Communications, 11(9):3058–3067

  • 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
    Full Text:
    research efforts have mostly focused on using gossip techniques for multicast communication. On the other

  • Quality of Experience Assurance Methods in Mobile Heterogeneous Wireless Communication Systems

    Creator:
    Sinky, Hassan Hussein
    Abstract:
    The proliferation of mobile users and internet content has advanced a plethora of research areas. Among these areas include mobile networks, transport layer protocols, and smart cities. Research shows that global mobile data traffic will increase sevenfold reaching 49 exabytes per month by 2021, most of which will be mobile...
    Resource Type:
    Dissertation
    Full Text:
    : Quality of Experience Assurance Methods in Mobile Heterogeneous Wireless Communication Systems Abstract

  • 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
    Full Text:
    Solutions”, IEEE Wireless Communications Magazine, Vol. 24, No. 5, pp. 68-73, Oct. 2017. 2. Bassem Khalfi

  • 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
    Full Text:
    Fog. Figure 3.1 shows the following types of communications between nodes: • V2V communication, such

  • 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:
    for ensuring secure and authenticated data communication in large-scale networks such as IoT

  • 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:
    entities. The proposed protocol relies on a peer-to-peer network infrastructure to allow communication

  • Collaborative Filtering-Based In-Network Content Placement and Caching for 5G Networks

    Creator:
    Alorayj, Haya
    Abstract:
    As the number of wireless devices, the demand for high data rates, and the need for always-on connectivity are growing and becoming more stringent with the evolvement and emergence of 5G systems, network engineers and researchers are being faced with new unique challenges that need to be addressed. Among many...
    Resource Type:
    Masters Thesis
    Full Text:
    concept of CF in networking and communication. The framework contains a number of base stations (BSs

  • 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:
    Attila A. Yavuz, “Location privacy in cognitive radio networks: A survey”, IEEE Communications Surveys

  • Joint Resource Scheduling and Peak Power Shaving for Cloud Data Centers with Distributed Uninterruptible Power Supply

    Creator:
    AlAnazi, Sultan (Sultan Abdulaziz)
    Abstract:
    The grid company enforces high penalties for the peak power demands of cloud data centers. These high penalties result in high electricity bills that can be avoided by relying on the servers' Uninterruptible Power Supply (UPS) as a source of energy during peak load periods. This thesis proposes a management...
    Resource Type:
    Masters Thesis
    Full Text:
    overcommitment. In IEEE Con- ference on Computer Communications Workshops (INFOCOM WKSHPS), April 2015. [8] M