Abhimanyu Gosain’s Post

Dear community members I am also the co-chair for patronage and exhibition for this year's IEEE GLOBECOM workshop being held later this year at CTICC South Africa! If looking to have the possibility of exhibiting or becoming a patron for the event please reach out to me. Exciting studies and technology being discussed: Advanced wireless networking experimentation  New waveforms;  Higher frequencies up to THz;  Next Generation Networks;  Nomadic Networks  Dynamic Spectrum and wireless management;  Integrated sensing and communication;  Multiple heterogeneous radio management;  AI/ML support  Testing Smart/intelligent infrastructure operation and management  Advanced protocols and architecture (virtualization, softwarization, programmability)  Federation and Interoperability  AI applied to infrastructure operation and optimization at all layers;  Generation of data to train algorithms;  Distribution of intelligence into the Edge of the network;  RICs, SMOs, and SOM.  Design and validation of new Edge/Cloud/Open RAN and Core Infrastructures for different Vertical needs  Software and components deployment, management, and optimization  Open Source Toolkits  CI/CD/CT and Infrastructure Openness and Customization  Distributed resource management  Geo-distributed data management  Federated deep-learning  Use Cases and deployment best practices  Private and public Campus Networks vs large Carrier networks  Methodology for designing and operating scientific instruments  Instrumentation and measurement;  Architecture and APIs;  Experiment design and life-cycle management;  Data management and reproducibility;  Testbed implementation and operation

IEEE Globecom 2023 recognizes IMDEA Networks' research with the Best Paper Award 👏 🔵 Our Research Director Joerg Widmer has recently received two consecutive awards at highly visible conferences and we are very proud. Congratulations! 📰 The award-winning paper is “Characterizing Sub-THz MIMO Channels in Practice: A Novel Channel Sounder with Absolute Time Reference”. This paper presents a novel, first-of-its-kind correlation-based MIMO channel sounder with a timing reference for sub-THz communications, which enables broadband, long-range, and time-varying channel characterization of MIMO systems. ℹ️ Learn more about the research here: https://lnkd.in/d7iR59nF #research

🔍 Dive into the Future with "The Rise of Quantum Information and Communication Technologies" by Antonio Manzalini and Luigi Artusio. 📚 🔬 Are you curious about the next quantum leap in technology? Discover how the second quantum revolution is reshaping our world! Explore the latest advancements driving quantum information and communication technologies (QICTs). 🌐 Learn about ongoing innovation activities in the QICT avenue, including the European project EQUO: discover how it's paving the way for quantum key distribution (QKD) networks and their integration into current telecommunications infrastructures, leading us towards the quantum internet. 🌟 Don't miss out on this insightful paper! Stay ahead of the curve and join the quantum revolution today. Read the full article here: https://lnkd.in/gviX_jPw #QuantumTechnology #Innovation #QICT #EQUO #QuantumInternet #FutureTech 🌌🔬🚀

Today I am sharing the paper "Fast Decision Algorithms for Efficient Access Point Assignment in SDN-Controlled Wireless Access Networks", in which we proposed access point assignment algorithms for SDN-enabled wireless networks, leveraging network-side predictions based on past user behavior. This proposal is particularly relevant for ultra dense environments, in which handovers are very frequent. The article has been published in the IEEE Transactions on Network and Service Management journal: https://lnkd.in/dmysdtVw. The Open Access version is available at the UVigo institutional repository: https://lnkd.in/dB-m3YnU Thanks to all co-authors for the great work! Information Technologies Group - University of Vigo atlanTTic - Research Center for Telecommunication Technologies Universidade de Vigo

In a rewarding collaboration with Plegma Labs and National Technical University of Athens, and with the support of the MSCA GECKO Innovation and Training Network, I'm thrilled to unveil our newest advancement in Non-Intrusive Load Monitoring (NILM): OPT-NILM published in the IEEE Transactions on Consumer Electronics! What sets OPT-NILM apart? It's a groundbreaking pruning strategy designed to identify and optimize NILM neural networks before diving into the full training. The result? Dramatically lowered computing expenses during both testing and training, opening the door for NILM applications on resource-limited edge devices. By using OPT-NILM, we're not just achieving a balance between model performance and computing cost. Our empirical findings showcase a potential reduction in trainable parameters by up to 95%, all the while ensuring only a minimal loss in performance. 📊✨ This step signifies more than just technological progress; it's a stride towards redefining energy management's future. Dive deeper into our insights here: https://lnkd.in/d3jEC9Jc. #EnergyEfficiency #NILM #Innovation #Research #EdgeComputing

You’ve heard of the business adage that “what gets measured gets managed” — but what if everyone’s measuring in different ways? Five of the world’s leading research and education (R&E) networking organizations — Energy Sciences Network (ESnet), GÉANT, the GlobalNOC at Indiana University Bloomington, Internet2, and Texas Advanced Computing Center (TACC) — have joined forces to form MetrANOVA, a consortium for Advancing Network Observation, Visualization, and Analysis. MetrANOVA’s goal is to develop and disseminate common network measurement and analysis tools, tactics, and techniques that can be applied throughout the global R&E community. “To ensure we are designing and operating networks that best serve our shared purpose — accelerating scientific research — we need a greater understanding of the whole system,” said Edward Balas, MetrANOVA lead and head of ESnet’s Measurement & Analysis group. Read more: https://lnkd.in/gppsjGZc MetrANOVA seeks diverse participants with a range of skills from other R&E organizations. Interested? Attend the upcoming MetrANOVA presentations at Internet2’s CommEX24 next week or GÉANT’s TNC24 in June!

#researchatnecstlab 📣 It's Thursday, and today we are glad to share with you one more news regarding our research! Today we are glad to share with you all that our paper entitled "Fast Voltage Estimation on MV Distribution Networks through a Machine Learning Hybrid" got accepted to the Research and Technologies for Society and Industry #RTSI. 📌 Smart grids represent an evolution of traditional electrical systems, integrating new technologies to enhance the monitoring and control of electrical system operations. In this context, machine learning techniques, particularly deep learning algorithms or ensemble methods, offer valuable tools for extracting information from the vast amount of data collected by smart grid components. Additionally, using ontologies capable of representing the topology of energy networks enables the application of processing techniques and artificial intelligence algorithms specific to graph structures. In this study, we introduce a novel machine learning-based approach for estimating node voltages in Medium Voltage distribution networks, typically derived from power flow computations. Our solution employs a hybrid strategy characterized by stacking a Graph Convolutional Network model and a Gradient-Boosted Decision Tree model. This method achieves an estimation error that adheres to constraints, thus mitigating the need for penalties imposed by the power supplier, while also substantially reducing computational time compared to conventional solutions. Our approach could be more relevant for obtaining fast responses in scenarios not easily solvable through numerical techniques, such as in the case of extended and multi-energy networks. 📌 The RTSI 2024 forum has been the flagship conference of the IEEE Italy Section for 6 years. In 2021 R8 approved to make this conference a R8 portfolio conference because of its industry focus. The main objective of RTSI is to bring together researchers and industry professionals in the technical fields covered by IEEE, as an example to promote and strengthen partnerships and cooperation between academia and industry. Perfectly aligned with the RTSI objective this research work has been done by Leonardo Gori, Alessandro Verosimile, Andrea Damiani, and Marco Santambrogio from the NECSTLab @ Dipartimento di Elettronica, Informazione e Bioingegneria in collaboration with Francesca Soldan, Enea Bionda, and Carlo Tornelli from Ricerca sul Sistema Energetico - RSE SpA 📎 For more information: https://lnkd.in/e2iEEWx7 See you all at Lecco in September! #Research #Conference #NECSTLab #researchatnecstlab #RTSI2024

How to meet Hard-real Time Boundaries on Edge Intelligence Applications using Time-Sensitive Networking? The following publication presents a research work done by researchers of the Universidad del País Vasco/Euskal Herriko Unibertsitatea and SoC-e System-on-Chip Engineering, S.L. presenting an AI video analytic application implemented on an edge-computing device. The critical information, including the location and size of the objects detected, is transmitted as hard-real time traffic using TSN. This use case has been implemented in the context of the NATO Generic Architecture for Land Systems (NGVA). Heartfelt appreciation goes to the coauthors who played integral roles in shaping and contributing to this work: Armando Astarloa, Pedro Fernandez, Jesús Lázaro, Mikel Idirin and Sergio Salas Bernal. This paper is accessible through IEEExplore: https://lnkd.in/dG_saswD Additionally, the authors may share copies of the final published article for individual personal use. #tsn #ai #ngva #edgeai

ISART™ 2024: In Pursuit of Consensus on Clutter - in person June 10-13, 2024 in Denver. Virtual option too! The International Symposium on Advanced Radio Technologies (ISART)™ is a U.S. government-sponsored conference hosted by the Institute for Telecommunication Sciences (ITS), the #science and #engineering laboratory of the National Telecommunications and Information Administration (NTIA). ISART is a science and engineering discussion-based conference that brings together government, industry, and academic leaders (both domestic and international) for the purpose of forecasting the development and application of advanced #radio technologies. ISART 2024 seeks consensus on how to address the pressing challenge of developing, agreeing on, and applying radio frequency propagation models that take into account the impact of foliage and buildings—clutter—for planning of both spectrum policy and spectrum-dependent systems of all kinds. The development of such models has historically been fraught with competing methodologies, assumptions, and toolsets. Yet today’s environment of ubiquitous spectrum sharing, increasing system diversity and complexity, and rapidly expanding exploitation of mid-band frequencies means that the demand for more modeling fidelity and greater modeling accuracy is both urgent and compelling. ISART 2024 will focus on how the broader community of researchers and system owners can collectively marshal and invest its finite resources to develop, validate, and apply new, more broadly used clutter models. These tools are needed to ensure that the ambitious goals set forth in both the U.S. National Spectrum Strategy (NSS) and the 2023 World Radio Conference (WRC-23) can be achieved. https://lnkd.in/gVP5CSAP

Congratulations to NEC Laboratories Europe GmbH, Delft University of Technology, i2CAT and ICREA - Institució Catalana de Recerca i Estudis Avançats on winning Best Student Paper Award at ACM SIGMETRICS 2024! We received the award for “Fair Resource Allocation in Virtualized O-RAN Platforms” by Fatih Aslan, George Iosifidis, Jose A. Ayala Romero, Andrés García Saavedra and Xavier Costa Pérez. The paper tackles the critical issue of energy efficiency in virtualized and open radio access networks (O-RANs). We conducted experiments to assess energy costs, focusing on variables such as server hardware, capacity and fluctuating data traffic properties. Based on our study, we proposed an energy-efficient compute policy for managing data loads and formulating minimum transmission sizes. The policy delivers a balance between performance and energy conservation, while ensuring fairness across servers and users. We also devised an online learning framework to address the shifting parameters that affect these policies and ensure long-term fairness across the whole operation. Our research was thoroughly evaluated using simulations and hands-on measures in realistic scenarios using an O-RAN compatible system. To learn more, read: https://lnkd.in/eynSKGm5. #NECLabs #ORAN #vRAN #EnergyEfficiency #MachineLearning