PAST CONFERENCES: IEEE WCNC 2024 - Dubai, UAE >> IEEE WCNC 2023 - Glasgow, UK >> IEEE WCNC 2022 - Austin, USA >> IEEE WCNC 2021 - Hybrid / Nanjing, China >> IEEE WCNC 2020 - Virtual >> IEEE WCNC 2019 - Marrakech, Morocco >> IEEE WCNC 2018 - Barcelona, Spain >> IEEE WCNC 2017 - San Francisco, USA >> IEEE WCNC 2016 - Doha, Qatar >> IEEE WCNC 2015 - New Orleans, USA >> IEEE WCNC 2014 - Istanbul, Turkey >> IEEE WCNC 2013 - Shanghai, China >> IEEE WCNC 2012 - Paris, France >> IEEE WCNC 2011 - Cancun, Mexico >> IEEE WCNC 2010 - Sydney, Australia >> IEEE WCNC 2009 - Budapest, Hungary >> IEEE WCNC 2008 - Las Vegas, USA >> IEEE WCNC 2007 - Hong Kong >> IEEE WCNC 2006 - Las Vegas, USA >> IEEE WCNC 2005 - New Orleans, USA >> IEEE WCNC 2004 - Atlanta Georgia, USA >> IEEE WCNC 2003 - New Orleans, USA >> TRACK 1: PHYSICAL LAYER AND COMMUNICATION THEORY Track Chairs: Alexandre Graell i Amat, Chalmers University of Technology, Sweden; Kaibin Huang, University of Hong Kong, China; Erik Perrins, University of Kansas, USA Antennas and RF Channel Modeling and Estimation Coding Theory Energy Harvesting and Low Energy Communication Feedback and Two-Way Communication Free Space Optical Communication Fundamentals of Age of Information Holographic Surfaces and MIMO Information Theory and Channel Capacity Integrated Sensing and Communications Iterative Techniques, Detection, and Decoding Low Resolution Communication Millimeter-Wave and Terahertz Next Generation MIMO and Massive MIMO Physical Layer Security Propagation and Interference Modeling Relaying and Self-Backhauling Short Packet and Finite Block Length Communications Stochastic Geometry Waveforms and Modulation Wireless Power and Information Transfer TRACK 2: MEDIUM ACCESS CONTROL AND NETWORKING Track Chairs: Francesca Cuomo, University of Roma “La Sapienza”, Italy; Dimitrios Koutsonikolas, Northeastern University, USA; Pablo Serrano, Universidad Carlos III de Madrid, Spain Age and Value of Information for Networks AI based support in network functions programmability Backscatter Communications Cognitive Radio and Networking Cooperative Communications and Networking Edge Computing, Edge Intelligence and Fog Networks Energy-Efficient and Green Networking IoT networks and protocols Low Power Wireless Networks Multihop Networks Emerging Medium Access Schemes in the 5G and Beyond Network Economics Network Slicing ORAN programmability of MAC and network functions RAN Data Collection and Storage Enhancement Resource Management Routing and Congestion Control Scheduling and Opportunistic Communications SDN/NFV Semantic Communications Spectrum Sensing, Access, and Sharing Unlicensed Spectrum and Licensed/Unlicensed Inter-Networking URLLC, Time Sensitive, and Deterministic Networking Wireless Network Security and Privacy TRACK 3: RESOURCE ALLOCATION AND MACHINE LEARNING Track Chairs: Santiago Mazuelas, Basque Center for Applied Mathematics, Spain; Lingyang Song, Peking University, China; Eirini Eleni Tsiropoulou, University of New Mexico, USA Bayesian Optimization for Wireless Communications Communication-inspired Machine Learning Convex and Non-Convex Optimization for Wireless Communications Cross-Layer Optimization Data-driven Network Modelling and Optimization Datasets for Wireless Systems and Channels Deep Learning for Wireless Communications Deep Unfolding for Wireless Communications and Networks Distributed Learning for Wireless Communications Distributed Optimization & Resource Allocation for Wireless Communications End-to-end Machine Learning over Wireless Channels Game-Theoretic Approaches to Wireless Communications Implementation of Machine Learning Algorithms for Wireless Load Balancing and Cell/Band Association Machine Learning Methods for Wireless Localization Model-Aided Machine Learning for Wireless Communications Networking Architectures for Artificial Intelligence Online Learning for Wireless Networks Performance Analysis of Machine Learning Techniques for Wireless Communications Reinforcement Learning for Wireless Communications Resource Allocation for Wireless Communications and Networks Resource Management in Public Safety Networks Resource Orchestration for Positioning, Navigation, and Timing Systems Scalability of ML for Wireless Communications Semantic and Goal-Oriented Communications Transfer Learning for Wireless Communications and Networks Unsupervised and Generative Models