The O-RIDE tutorial aims to provide participants with a comprehensive understanding of building the Open Radio Access Network (Open-RAN) platforms, followed by a demonstration of basic use cases — Key Performance Indicator Monitoring for performance ...

Large scale quantum networks of the future will have quantum nodes that are heterogeneous in their functional and performance capabilities. The heterogeneity that we consider for illustration, lies in the type of the nodes in the quantum network. We ...

The consumer needs and advancements in different application domains are creating multifold increase in the overall network utilization. Several vendors and open source solutions are rapidly evolving to enhance user experience irrespective of the network ...

Multivariate Time Series Classification (MTSC) is a fundamental data mining task, which is widely applied in the fields like health care and energy management. However, the existing MTSC methods are mostly adapted from univariate versions and model the ...

LiDAR has gained popularity in autonomous driving due to advantages like long measurement distance, rich three-dimensional information, and stability in harsh environments. Place Recognition (PR) enables vehicles to identify previously visited locations ...

The advent of generative networks and their adoption in numerous domains and communities have led to a wave of innovation and breakthroughs in AI and machine learning. Generative Adversarial Networks (GANs) have expanded the scope of what is possible with ...

Converting any kind of data to image data can make the dataset suitable for Convolutional Neural Networks (CNNs). In this study, the NSL-KDD dataset was converted to image data using the color mapping technique and using CNN a good accuracy of 98.91% and ...

The exponential growth in internet data traffic, driven by the widespread use of video streaming applications, has resulted in increased energy consumption and carbon emissions. This outcome is primarily due to higher resolution or higher framerates ...

In-band Network Telemetry (INT) enhances real-time, high-resolution network monitoring capabilities by incorporating fine-grained internal state information into packets. Utilizing INT for network-wide visualization can significantly bolster network ...

Many applications, e.g., federated learning, require the aggregation of information across a large number of distributed nodes. In this paper, we explore efficient schemes to do this at scale leveraging aggregation at intermediate nodes across overlay ...

Despite significant investments in access network infrastructure, universal access to high-quality Internet connectivity remains a challenge. Policymakers often rely on large-scale, crowdsourced measurement datasets to assess the distribution of access ...

Stochastic Network Optimization (SNO) concerns scheduling in stochastic queueing systems and has been widely studied in network theory. Classical SNO algorithms require network conditions to be stationary w.r.t. time, which fails to capture the non-...

This study presents the first global analysis of on-demand video streaming over Low Earth Orbit (LEO) satellite networks, using data from over one million households across 85 countries. We highlight Starlink's role as a major LEO provider, enhancing ...

A delay, interruption, or failure in the wireless connection has a significant impact on the performance of wirelessly connected medical equipment. Researchers presented the fastest technological innovations and industrial changes to address these ...

Understanding the topology of the global Internet is crucial for advancements in network performance, resilience, and policy-making. Most existing mapping frameworks, focusing separately on logical or physical connectivity, provide fragmented insights ...

With the growing demand for computing resources, data centers must optimize energy consumption while maintaining performance. This paper focuses on optimizing job scheduling in low-resource edge clusters using Multi-Agent Proximal Policy Optimization (...

Today there are over 60 CDNs worldwide that together deliver most of the Internet's content. There have been several efforts to develop and evaluate different replica selection techniques, but we still lack an understanding of the primary strategies used ...

Immersive computing has transformed the way we interact with digital and physical worlds by blurring boundaries between them. However, as these technologies evolve, they introduce growing challenges related to increasing network demands and heightened ...

Network modeling is crucial for the design, management, and optimization of modern telecommunications and data networks. Recent advancements in Machine Learning (ML), specifically Graph Neural Networks (GNNs), offer promising solutions but rely on ...

Network modeling often relies on simulation tools due to their flexibility and cost-effectiveness. However, in many cases, those tools can only cover some aspects of real-world networks accurately. Measurements on hardware testbeds are more accurate but ...