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Filtering by: Alternative title ssim Report no. 1665-5 Remove constraint Alternative title ssim: Report no. 1665-5 Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Advisor Hamdaoui, Bechir Remove constraint Advisor: Hamdaoui, Bechir

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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:
    Security Analysis 24 5 Analysis and Comparison 27 6 Conclusion 34 Bibliography 34 LIST OF

  • 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:
    accuracy. 31 Bibliography [1] FCC: GN docket no: 14-177, report and order and further notice of

  • Jamming Attack Resiliency and Performance Analysis of Cognitive Radio Communication Networks

    Creator:
    Adem, Nadia
    Abstract:
    Cognitive radio technology emerges as a promising solution for overcoming shortage and inefficient use of spectrum resources. In cognitive radio networks, secondary users, which are users equipped with cognitive radios, can opportunistically access spectrum assigned to primary users, the spectrum license holders. Although it improves spectrum utilization efficiency, this opportunistic...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 4.5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 84 5

  • 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:
    capacity, connectivity, and Quality of Service (QoS) requirements that can no longer be met with

  • 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

  • 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:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87 5 Large Content-Centric Urban Communication Networks Analysis and Frame- work Manuscript

  • Network Traffic-Driven Hybrid Learning for Classifying Seen and Unseen IoT Device Types

    Creator:
    Bao, Jiaqi
    Abstract:
    IoT networks can be viewed as collections of Internet-enabled physical devices and objects, embedded with sensor, actuator, computation, storage and communication components, that are capable of connecting and exchanging data to one another. In recent years, organizations have allowed more and more IoT devices to be connected to their networks,...
    Resource Type:
    Masters Thesis
    Full Text:
    no risk. Leveraging network traffic to identify devices through supervised learning has recently

  • 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:
    Communications and Networking, vol. 3, no. 2, pp. 255–266, 2017. 5 5. Mohamed Grissa, Bechir Hamdaoui, and

  • End-to-end network throughput enhancement through physical-layer network coding

    Creator:
    Maeouf, Sofean Ahmed
    Abstract:
    Physical-Layer Network Coding (PNC) is a promising technique that has great potentials for improving the achievable data rates of end-to-end flows through higher packet transmission rates, thereby increasing the overall network throughput. In this thesis, we study the performance of the PNC transmission techniques for unidirectional end-to-end flows in multi-hop...
    Resource Type:
    Masters Thesis
    Full Text:
    instant primer,” ACM SIGCOMM Computer Communication Review, vol. 36, no. 1, pp. 63–68, Jan 2006. [5] S

  • Deep Learning Based Automatic Modulation Classication for Wideband Access Using Cyclostationarity Analysis

    Creator:
    Mejri, Seifeddine
    Abstract:
    RF-based signal identification and classification has received growing attention during recent years due to its potential use in many application domains. Of particular interest is Automatic Modulation Classification (AMC), which has been useful in addressing various spectrum related challenges such as signal jamming, policy enforcement, and spectrum sharing. Adopting AMC...
    Resource Type:
    Capstone Project
    Full Text:
    AN ABSTRACT OF THE REPORT OF Seifeddine Mejri for the degree