A5038313064- Advanced MIMO Systems Optimization
- Telecommunications and Broadcasting Technologies
- IoT and Edge/Fog Computing
- Millimeter-Wave Propagation and Modeling
- Power Line Communications and Noise
- Image and Video Quality Assessment
- Green IT and Sustainability
- Transport and Logistics Innovations
- Video Coding and Compression Technologies
- Advanced Photonic Communication Systems
- Advanced Wireless Communication Technologies
- Cloud Computing and Resource Management
- Blockchain Technology Applications and Security
- Material Science and Thermodynamics
- Network Security and Intrusion Detection
- Software-Defined Networks and 5G
- Context-Aware Activity Recognition Systems
- Software System Performance and Reliability
- Advanced Malware Detection Techniques
- IoT Networks and Protocols
- Multimedia Communication and Technology
- Caching and Content Delivery
- Vehicular Ad Hoc Networks (VANETs)
- Opportunistic and Delay-Tolerant Networks
- Internet Traffic Analysis and Secure E-voting
University of Minnesota
2020-2025
Twin Cities Orthopedics
2020-2025
University of Minnesota System
2022
The emerging 5G services offer numerous new opportunities for networked applications. In this study, we seek to answer two key questions: i) is the throughput of mmWave predictable, and ii) can build "good" machine learning models prediction? To end, conduct a measurement study commercial in major U.S. city, focusing on as perceived by applications running user equipment (UE). Through extensive experiments statistical analysis, identify UE-side factors that affect performance quantify what...
Recent measurement studies show that commercial mmWave 5G can indeed offer ultra-high bandwidth (up to 2 Gbps), capable of supporting bandwidth-intensive applications such as ultra-HD (UHD) 4K/8K and volumetric video streaming on mobile devices. However, also exhibits highly variable throughput performance incurs frequent handoffs (e.g., between 4G), due its directional nature, signal blockage other environmental factors, especially when the device is mobile. All these issues make it...
5G Stand-Alone (SA) deployment is crucial for unlocking the full potential of 5G, providing significant improvements to mobile user experience and enabling development new applications. As operators start rolling out SA-5G market, there remains a lack comprehensive measurement studies, leaving many questions about its capabilities. To this end, we conducted timely in-field study in April 2023, covering two major US cities where T-Mobile has designated as dominant default radio access...
We introduce Kaala, a scalable, hybrid, end-to-end IoT system simulator that can integrate with diverse, real-world cloud services. Many simulators run in isolation and do not interface systems or servers. This makes it difficult for experiments to fully replicate the diversity exists end-to-end, systems. Kaala is intended bridge gap between simulation real world. The interact services, such as those offered by Amazon, Microsoft Google. leverages vendor-provided software development kits...
As the plethora of Internet Things (IoT) devices gradually make their way into our lives, several Cloud Service Providers (CSPs) have developed IoT gateway platforms (SDKs) that solely connects to respective cloud. Such gateways 1) cumbersome device configuration; 2) inflexible data managements; and 3) support no/little cross-vendor edge computation cloud analytics. We term these commercial SDKs as cloud-centric. In this paper, we study state-of-the-art vendor-locked Gateway solutions...
There is a growing demand for real-time analysis of network data streams. In recent years, Model Driven Telemetry (MDT) has been developed - in place conventional methods such as Simple Network Management Protocol (SNMP), Syslog and CLI commands to provide fine-grain holistic view at the control, management planes. High-frequency MDT streams generated from devices enable new ways designing Operation (OAM) solutions, laying foundation future "self-driving" networks.In this paper we study...
The IoT world is evolving with the latest technology trends, like edge computing, augmented & virtual reality, machine learning, robotics, and 5G. With digital transformation happening in Industry 4.0, many industries are moving toward private 5G networks. There massive number (hundreds to thousands) of devices a single factory depending on scale industry these factories consists critical devices, fire or gas sensors which need operate reliably less latency. To efficiently realize...
Fifth Generation (5G) mobile networks mark a significant shift from previous generations of networks. By introducing flexible design, 5G support highly diverse application requirements. Currently, the landscape measurement studies does not shed light on network configuration and inherent implications to performance. In this paper, we precisely fill gap report our in-depth multi-country study deployed at mid-bands. This is common playground for U.S. European carriers. Our findings reveal key...
Numerous cloud service providers (CSPs) have developed IoT gateways and devices that connect solely to their respective clouds. We term these cloud-centric. In this paper, we propose an alternative, edge-centric approach developing gateways, Edge-Centric Gateways, or ECIoT. ECIoT will: enable sites direct sensor data the CSP of choice for processing storage permit be easily efficiently forwarded multiple CSPs simultaneously, which can simplify functions in multi-vendor systems. Evaluation a...
Unlike previous generation cellular technologies, 5G networks support diverse radio bands from low-band, mid-band to (mmWave) high-band, and offer a wide variety of new enhanced features. In particular, 3GPP standards adopt flow-based Quality-of-Service (QoS) framework that allows more flexibility in mapping QoS "flows" data bearers. Nonetheless, the classes are pre-defined treatment is limited "flow" level. As we will argue an earlier paper, cannot fully intelligently utilize diversity...
We examine in detail the provisioning process used by many common, consumer-grade Internet of Things (IoT) devices. find that this involves IoT device, vendor's cloud-based server, and a vendor-provided mobile app. In order to better understand process, we develop two toolkits. IoT-Dissect I enables us decrypt messages exchanged between device server II permits reverse engineer app observe its operation detail. several potential security issues with recommend ways mitigate these problems....