Events for May 4, 2026

Title: Generative AI and Deep Learning for Resource Allocation in 6G Wireless NetworksAbstract:This talk provides an in-depth exploration of resource management in 6G wireless networks, focusing on the vision, key performance indicators (KPIs), key enabling techniques (KETs), and the diverse array of services characteristic of these advanced networks. The distinct challenges inherent in 6G resource management call for a pivotal shift toward artificial intelligence (AI) and machine learning (ML)–driven solutions, requiring a departure from traditional optimization-centric <a href="http://approaches.The" target="_blank" title="approaches.The">approaches.The talk sheds light on generative AI and unsupervised ML strategies tailored to effectively address convex and non-convex resource management optimization problems. A key focus is placed on deep unsupervised learning techniques for network resource allocation under nonlinear and non-convex constraints. Deep implicit layers and differentiable projection methods are explored as mechanisms to ensure zero constraint violations in applications such as beamforming, phase-shift optimization, and power <a href="http://allocation.Furthermore" target="_blank" title="allocation.Furthermore">allocation.Furthermore, the potential of generative AI models, including large language models (LLMs), to enable proactive network resource allocation is examined, highlighting their role in optimizing performance and reducing reliance on traditional heuristics. The session concludes by identifying key research gaps and future directions, paving the way for next-generation AI-driven wireless <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Hong-chuan Yang***CANCELED***Room: 660, Bldg: Engineering/Computer Science Building (ECS), 3800 Finnerty Road, Victoria, British Columbia, Canada, V8P 5C2

Abstract: The next generation of wireless networks will no longer be confined to moving bits — they will sense, communicate, and learn simultaneously. This convergence is anticipated to enable distributed intelligence across devices, unlocking new capabilities for real-time perception and decision-making in dynamic environments. In this talk, two complementary advances in federated signal processing will be presented. First, an over-the-air federated edge learning (OTA-FEEL) framework with integrated radar sensing will be discussed. By leveraging echoes from the environment, rather than treating them solely as interference, robust model aggregation will be maintained while ensuring high-quality sensing and communication performance. A joint scheduling and beamforming design will be presented, supported by low-complexity optimization techniques, to preserve aggregation accuracy under realistic wireless conditions. Second, FedTrack, a novel federated learning–inspired algorithm for distributed target tracking, will be presented. By treating local log-likelihood functions as loss functions in a distributed optimization framework, FedTrack enables devices to collaboratively estimate a moving target’s position and velocity. This communication-efficient method closely approximates centralized maximum likelihood estimation, achieving accuracy near the Cramér–Rao bound while reducing reliance on a central coordinator. Together, these developments illustrate how federated intelligence over the air can transform 6G networks into systems that not only communicate but also sense and learn collaboratively. Implications for autonomous systems, smart cities, and beyond will be discussed, with emphasis on the central role of signal processing innovations in realizing this <a href="http://vision.Room:" target="_blank" title="vision.Room:">vision.Room: MCLD 3038, Bldg: Hector J. MacLeod Building - MCLD, 2356 Main Mall, Vancouver, BC V6T 1Z4, Vancouver, British Columbia, Canada, Virtual: https://events.vtools.ieee.org/m/552228

CREATE TRAVERSAL, SITE-CAV and Lunch&Learn series of IEEE Young Professionals Ottawa is taking it to the sky! Join us as Prof. Cicek Cavdar from KTH Sweden, a leading expert in the field, presents state-of-the art research and the upcoming challenges in satellite communications and 6G.Come for the learning and stay for the community! We will serve lunch, Turkish coffee and other treats following the <a href="http://presentation.6G" target="_blank" title="presentation.6G">presentation.6G for Connected Sky: From LEO Mega-Constellations to Airspace CommunicationsAbstract: Future 6G systems will extend across terrestrial, aerial, and non-terrestrial platforms to support seamless, resilient, and intelligent connectivity for users in the sky, on the ground, and in remote areas. In this talk, I will present our recent work toward this vision of 6G for Connected Sky, covering three main research directions: (i) design and resource allocation in LEO mega-constellations, including handover management, Open RAN architectures, interference, and hybrid terrestrial-satellite networking; (ii) satellite-assisted IoT and edge intelligence, where learning-based methods support data collection and task offloading in highly dynamic environments; and (iii)airspace communications, including UAV connectivity, reliability, sensing, and spectrum/regulatory challenges in integrated 3D networks. Together, these works highlight how future connectivity must be designed jointly across communication architecture, mobility, compute, and intelligence to enable reliable and scalable 6G services for the connected <a href="http://sky.Bio:" target="_blank" title="sky.Bio:">sky.Bio: Cicek Cavdar is a Full Professor at KTH Royal Institute of Technology, Sweden, where she serves as Vice Head of the Department of Communication Systems and Founding Director of SMART-6GSAT, Sweden’s first national 6G satellite communications center. She leads the Intelligent Network Systems research group and works on AI-native and cloud-native network design and orchestration, with a focus on cell-free massive MIMO, integrated sensing and communications, drone communications, and the convergence of terrestrial and non-terrestrial networks. Her research addresses the trade-off between resiliency and energy efficiency through an end-to-end perspective spanning cloud, transport, and radio access networks. She has led major EU academia–industry initiatives, including 6G-SKY and RAI-6Green, and previously coordinated AI4Green, which received the 2024 EUREKA Innovation Award and Celtic Excellence Award. Her team received the Scientific Excellence Best Paper Award at ASMS/SPSC 2025 for work on disaggregated RAN in space and handover management in LEO mega-constellations. Professor Cavdar has authored more than 160 publications, holds several patents, and serves on the editorial boards of IEEE Transactions on Wireless Communications and IEEE Transactions on Green Communications and Networking. She is also an active organizer, editor, and keynote speaker in the areas of 6G, AI-native networks, green communications, and non-terrestrial <a href="http://networks.Co-sponsored" target="_blank" title="networks.Co-sponsored">networks.Co-sponsored by: Smart Connected Vehicles Innovation Centre (SCVIC) and the Next Generation Communications and Computing Networks Lab (NEXTCON)Speaker(s): Cicek, Agenda: - Introductions- Talk by Prof. Cicek Cavdar- Lunch and networkingBldg: Hub 350, 350 Legget Dr, Smart Connected Vehicles Innovation Centre, Ottawa, Ontario, Canada, K2K 3N1