Index Catalog // ScholarsArchive@OSU

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Creator:: Gaskin, Jared
Abstract:: In recent years, RF (Radio Frequency) device fingerprinting using deep learning has emerged as a method of identifying devices solely by their RF transmissions. Conventional approaches to this type of device fingerprinting are not portable to different domains. That is, if a model for this purpose is trained on data...
Resource Type:: Masters Thesis
Full Text:: : Bechir Hamdaoui Lizhong Chen In recent years, RF (Radio Frequency) device fingerprinting using deep

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:: committee members Professor Mag- gie Niess, Professor Lizhong Chen and Professor Mike Rosulek, for

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:: guidance. Finally, I am also grateful to my committee members: Professor Lizhong Chen, Professor Bella Bose

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

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:: 1–7. IEEE, 2015. [4] F. Azmat, Y. Chen, and N. Stocks. Analysis of spectrum occupancy using machine

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

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:: Prof. Lizhong Chen for their insightful comments and encouragement. Also, I would like to thank my

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:: Professor Larry Cheng, Professor Lizhong Chen, Professor Jinsub Kim and Professor Leonard Coop, for

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

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:: Profes sor Maggie Niess, Professor Lizhong Chen and Professor J. Eduardo Cotilla-Sanchez, for

ScholarsArchive@OSU

Towards Deep Learning Model Portability for Domain-Agnostic Device Fingerprinting

Location Privacy-Preserving Strategies for Secondary Spectrum Use

Delay-Aware Resource Management Frameworks for Intelligent Vehicular Networks

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

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

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

Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

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

Quality of Experience Assurance Methods in Mobile Heterogeneous Wireless Communication Systems

Location Privacy Preservation for Optimal Sensing in Cognitive Radio Networks

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