Index Catalog // ScholarsArchive@OSU

Hybrid, Proactive In-Network Caching for Mobile On-Demand Video Streaming

Creator:: Abuhadra, Ragda
Abstract:: Mobile video streaming has become an essential application in mobile wireless networks,making up most of the mobile data of today’s Internet traffic. Studies have shown that mobile video data is projected to make up about 78 percent of the global mobile data traffic, and that global mobile data traffic is...
Resource Type:: Masters Thesis
Full Text:: Internet of Things Journal, vol. 3, no. 3, pp. 327–338, 2016. 28 [22] X. Chen, L. Jiao, W. Li, and X

Coordinating secondary-user behaviors for inelastic traffic reward maximization in large-scale DSA networks

Creator:: NoroozOliaee, MohammadJavad
Abstract:: We develop efficient coordination techniques that support inelastic traffic in large-scale distributed dynamic spectrum access DSA networks. By means of any learning algorithm, the proposed techniques enable DSA users to locate and exploit spectrum opportunities effectively, thereby increasing their achieved throughput (or "rewards" to be more general). Basically, learning algorithms...
Resource Type:: Masters Thesis
Full Text:: users (SUs) to exploit unused li ensed spe trum, but in a manner that limits interferen e to li ensed

Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

Creator:: Alqahtani, Jarallah Ali m
Abstract:: Data centers (DCs) have been witnessing unprecedented growth in size, number and complexity in recent years. They consist of tens of thousands of servers interconnected by fast network switches, hosting and enabling numerous applications with various traffic characteristics and requirements. As a result, DC networks have been presented with several...
Resource Type:: Dissertation
Full Text:: c o n n e c t to o th e r sw it c h e s. A se rv e r h a s o n ly o n e d ir e c t li n k to

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:: , Yang Li, and Sudharman K Jayaweera. A survey on machine- learning techniques in cognitive radios. IEEE

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

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 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:: using the half-voting rule proposed in [29]. 1.2 Related Work Shuai Li et al. [19] showed that

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

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

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

ScholarsArchive@OSU

Hybrid, Proactive In-Network Caching for Mobile On-Demand Video Streaming

Coordinating secondary-user behaviors for inelastic traffic reward maximization in large-scale DSA networks

Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

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

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

Efficient Spectrum Sensing and Sharing Techniques for Dynamic Wideband Spectrum Access

Location Privacy Preservation for Optimal Sensing in Cognitive Radio Networks

Location Privacy-Preserving Strategies for Secondary Spectrum Use

Jamming Attack Resiliency and Performance Analysis of Cognitive Radio Communication Networks

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

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