856 research outputs found

    Investigating the Effects of Network Dynamics on Quality of Delivery Prediction and Monitoring for Video Delivery Networks

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    Video streaming over the Internet requires an optimized delivery system given the advances in network architecture, for example, Software Defined Networks. Machine Learning (ML) models have been deployed in an attempt to predict the quality of the video streams. Some of these efforts have considered the prediction of Quality of Delivery (QoD) metrics of the video stream in an effort to measure the quality of the video stream from the network perspective. In most cases, these models have either treated the ML algorithms as black-boxes or failed to capture the network dynamics of the associated video streams. This PhD investigates the effects of network dynamics in QoD prediction using ML techniques. The hypothesis that this thesis investigates is that ML techniques that model the underlying network dynamics achieve accurate QoD and video quality predictions and measurements. The thesis results demonstrate that the proposed techniques offer performance gains over approaches that fail to consider network dynamics. This thesis results highlight that adopting the correct model by modelling the dynamics of the network infrastructure is crucial to the accuracy of the ML predictions. These results are significant as they demonstrate that improved performance is achieved at no additional computational or storage cost. These techniques can help the network manager, data center operatives and video service providers take proactive and corrective actions for improved network efficiency and effectiveness

    Evolution of High Throughput Satellite Systems: Vision, Requirements, and Key Technologies

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    High throughput satellites (HTS), with their digital payload technology, are expected to play a key role as enablers of the upcoming 6G networks. HTS are mainly designed to provide higher data rates and capacities. Fueled by technological advancements including beamforming, advanced modulation techniques, reconfigurable phased array technologies, and electronically steerable antennas, HTS have emerged as a fundamental component for future network generation. This paper offers a comprehensive state-of-the-art of HTS systems, with a focus on standardization, patents, channel multiple access techniques, routing, load balancing, and the role of software-defined networking (SDN). In addition, we provide a vision for next-satellite systems that we named as extremely-HTS (EHTS) toward autonomous satellites supported by the main requirements and key technologies expected for these systems. The EHTS system will be designed such that it maximizes spectrum reuse and data rates, and flexibly steers the capacity to satisfy user demand. We introduce a novel architecture for future regenerative payloads while summarizing the challenges imposed by this architecture

    Security and Privacy for Modern Wireless Communication Systems

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    The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks

    Undergraduate and Graduate Course Descriptions, 2023 Spring

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    Wright State University undergraduate and graduate course descriptions from Spring 2023

    Towards Broadcasting Linear Content Over 5G Network

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    Today's society heavily relies on linear television systems featuring planned programs, which serve as a vital means of communication. The evolution of broadcasting linear content is notably driven by advancements in end users' devices. This transition has expanded it from a limited range of linear radio and TV channels to a comprehensive and distinctive array. This selection is accessible across diverse distribution network types. Among these networks, the prominence of the 5G network stands out as a notable platform for media and transmissions. Transmitting linear content over 5G networks involves efficiently delivering scheduled, real-time content to a large number of users simultaneously. This content encompasses live TV broadcasts, radio programs, and streaming events. While 5G networks offer significant advantages in capacity, speed, and latency, it's essential to consider specific factors when it comes to broadcasting linear content. Traditionally, cellular networks, designed for continuous service, have predominantly followed a unicast bidirectional communication paradigm for numerous years, providing a range of services to customers. This paper employs a research methodology to examine the future 3rd Generation Partnership Project (3GPP) 5G Multicast and Broadcast Services (MBS) standards, along with their constraints. Our approach includes a comprehensive literature review, technical specification analysis, and comparison of different broadcasting technologies within the 5G framework. By employing this research methodology, we gain a holistic understanding of the evolving landscape of broadcasting linear content over 5G networks. This contributes to the body of knowledge in this field and informs future advancements in broadcast technologies within the 5G ecosystem

    Efficiency and Sustainability of the Distributed Renewable Hybrid Power Systems Based on the Energy Internet, Blockchain Technology and Smart Contracts-Volume II

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    The climate changes that are becoming visible today are a challenge for the global research community. In this context, renewable energy sources, fuel cell systems, and other energy generating sources must be optimally combined and connected to the grid system using advanced energy transaction methods. As this reprint presents the latest solutions in the implementation of fuel cell and renewable energy in mobile and stationary applications, such as hybrid and microgrid power systems based on the Energy Internet, Blockchain technology, and smart contracts, we hope that they will be of interest to readers working in the related fields mentioned above

    Modelling, Dimensioning and Optimization of 5G Communication Networks, Resources and Services

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    This reprint aims to collect state-of-the-art research contributions that address challenges in the emerging 5G networks design, dimensioning and optimization. Designing, dimensioning and optimization of communication networks resources and services have been an inseparable part of telecom network development. The latter must convey a large volume of traffic, providing service to traffic streams with highly differentiated requirements in terms of bit-rate and service time, required quality of service and quality of experience parameters. Such a communication infrastructure presents many important challenges, such as the study of necessary multi-layer cooperation, new protocols, performance evaluation of different network parts, low layer network design, network management and security issues, and new technologies in general, which will be discussed in this book

    Towards Broadcasting Linear Content over 5G Network

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    Today's society relies heavily on linear television systems with planned programs, which are also a crucial form of communication. Broadcast of liner content is evolving, driven particularly by the evolution of end users’ devices, it is has changed from a small number of linear radio and TV channels to a comprehensive and distinctive offer that is available across a variety of various distribution platforms. Broadcasting linear content over 5G networks involves delivering scheduled, real-time content such as live TV broadcasts, radio programs, or streaming events to a large number of users simultaneously. While 5G networks offer significant advantages in terms of capacity, speed, and latency, there are specific considerations when it comes to broadcasting linear content. hassle cellular networks offering the discontinues services, have been predominantly built on a unicast bidirectional communication paradigm for many years, offering its end customers a variety of services. In this paper, we examine the future 3rd Generation Partnership Project (3GPP) 5G Multicast and Broadcast Services (MBS) standards as well as some of its constraints. We also outline the most recent standardization efforts aimed at bringing non-3GPP broadcast networks into the 5G system, along with the suggestions we have made to standards bodies
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