Abhimanyu Gosain’s Post

Heading to D.C. for the Federal Communications Commission Technology Advisory Council quarterly meeting tomorrow 6/21. We are midway through the year and will provide an update alongside Brian Daly on #6G developments as part of our charter. We have explored the recently concluded first 6G workshop in 3GPP, interacted with IEEE 802.11 working group(s) to expand the horizon beyond cellular to unlicensed and #WiFi and looked at the state of the art and requirements for 6G of #URLLC applications in the automotive sector. The breath of technologies being investigated ( #ISAC, #RIS, #metasurface, #nativeAI, #quantum, #security ) will need motivating use cases and spectrum needs will tie it together. Look forward to updates from the spectrum sharing and AI working groups as well. Tune in on www.fcc.gov/live starting at 10 AM ET. https://lnkd.in/eeU38TJx

It's a wrap.. IEEE ICC 2024 was a successful week participating in two Industry Panels and lots of interesting presentations and keynotes paving the way towards #6G. https://lnkd.in/etcTxVyw IP2: Cybersecurity in a Mobile Wireless World: What More is Required? My main takeaway(s) are around the melding of the IT, compute and comms technologies towards 6G expands the threat surface as adjacent technologies mix with traditional wireless, well defined standards exist to secure the 5G radio ,signaling and user plane but practical implementation e.g. upgrading to TLS 1.3 in a large network incurs performance penalties, which create the classic performance v/s security vulnerabilities tradeoff. IP10: TOWARDS AN OPEN 6G FOR THE INCLUSION OF ALL – UNDERSTANDING THE ROLE OF OPEN 6G RESEARCH INFRASTRUCTURES AND TOOLKITS Here, we discussed the role of Open, programmable softwarized toolkits that lower the barrier of entry for building relevant use cases that are not supported in the commercial offerings. It was not "you build a testbed and they will come" but the utility of the research infrastructure to solve a key focused issue: security, latency, network optimization. Thanks to my fellow panelists for the engaging conversation. Roger Nichols, Taylor Hartley, Jitendra Patel, Jeff Cichonski, Gerhard Fettweis, Frank Fitzek, ,Takehiro Nakamura (NTT), Joyce B. Mwangama Ari Pouttu. #5G, #ORAN, #ZTA, #BIGDATA, #AI, #Open6G, #3GPP, #PAWR, #SLICES-RI

Please consider submitting your work on experiments, platforms, data and reproducibility that could structure and benefit the research community focusing on Future G Networks. Original papers are welcome on any of the following topics. We thank the IEEE GLOBECOM 2024 committee for hosting the 5th edition of this workshop series. The momentum is evident with a growing global community and my fellow organizers. We look forward to meeting you in Cape Town !!! #PAWR #Colosseum #SLICESRI #NAKAOLAB #CAMPUSOS. Serge Fdida Thomas Magedanz Joyce B. Mwangama Aki (Akihiro) Nakao 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

Yes, 2 workshops on the same day 🙈 and sad to miss attending EuCNC & 6G Summit this year. However, we have a fantastic program for the Strengthening EU-US Cooperation in Experimental Infrastructures Towards 6G workshop, June 3. A strong representation of US National Science Foundation (NSF) #PAWR platforms, EU #6GSNS platforms, #SLICES-RI and strategy and policy development discussions for future research infrastructure architecture at this important event. Many Thanks to Luis Pessoa and Dr. Odysseas Pyrovolakis for leading the organization. Serge Fdida, Dan Kilper https://lnkd.in/edNTCTQf

We have published the final agenda for the "Thought experiments, data and reproducibility for networking and FutureG research" workshop at #IFIP Networking , June 3 2024. Honored to have Thomas Magedanz as our keynote on #CampusOS, #Open6G along with interesting research papers spanning the full networking stack and future research infrastructure development for 6G . Thanks to all paper submissions, TPC members and the contributions of my co-chairs Serge Fdida, #SLICES and Georg Carle. #PAWR #5G #edge #OpenRAN #reproducibility #data https://lnkd.in/ezkxxa6J

The expanding role of Large Language Models (LLM) in Telco AI deserves an Interdisciplinary perspective. I will be moderating the panel at IEEE ICCCN 2024 July 29 2024, exploring When Networking meets AI: Applying LLM enabled AI Native approach for intent based future edge networks. 1. Infrastructure requirements to deliver the end-to-end AI: Radio, Access Network, Compute, Storage. 2. How will the synergies between networking and AI help design the next generation of edge networks (6G and beyond) that are highly efficient, reliable, robust, and secure. 3. Discuss the notion of a new distributed intelligence plane along with traditional control, management and data plane to ensure that these networks are self-healing, adaptive, and self-optimized. 4. How can machine learning, especially large model-based AI, be constantly tuned to the real-world to deliver customized AI services. From a machine learning point of view, radio I-Q samples, network and configuration data will be a major data source for AI training and to drive generative and interactive AI services. 5. Using LLM- modeled-AI to trigger new training instances (when to train vs use prior policies), use generative AI to then create new trusted and labeled samples that resemble new data in new and unseen environments that may have adversaries that poison external data. We explore methods such as Continual Learning that learns new classes (e.g., A new waveform not present in trusted libraries) on the fly and resilient/robust AI/ML model training methods that are designed to handle intentional interference or distortion of data that results in misclassification. Looking forward to interacting with Prof's Aki (Akihiro) Nakao, Hongwei Zhang, JongWon Kim and Yingbing Liang, The Ohio State University The University of Tokyo, Iowa State University - College of Engineering, Gwangju Institute of Science and Technology https://lnkd.in/gbsqXxAh

Excited to restart the work on Federal Communications Commission Technology Advisory Council and appreciate the Chairwoman's appointment to continue co-chairing the #6G Working group with Brian Daly. We have our work cut out with the rapid progress towards 6G and the technical requirements and use development happening in standards bodies and global consortia and alliances. We will take a hard look at #WRC spectrum recommendations and their ramifications on spectrum use and allocation for the US and deep dive into technology areas of #JSAC, #openran , #AIforRAN, #SMO and #NTN. https://lnkd.in/ecQYWppt

Participating in IEEE Future Network World Forum, Nov 13 Baltimore, MD to discuss FULL STACK AUTOMATION IN #5G & BEYOND (5GB) NETWORKS. Zero touch orchestration enabled by #ORAN and new paradigm of Radio Intelligent Controller #RIC powered by AI xApps will revolutionize service management and orchestration of future networks. I will talk about Institute for the Wireless Internet of Things (WIoT) work on this topic being demonstrated on #Colosseum, an OPEN RAN enabled Digital Twin.

Looking forward to continuing the momentum of O-RAN nGRG !!!