The IEEE Wireless Communications and Networking Conference (WCNC) is a top-ranked, flagship conference of the IEEE Communications Society, bringing together researchers from academia, industry, and government. IEEE WCNC 2025 will be hosted in the vibrant city of Milan, Italy and will be conducted in person, allowing attendees to fully benefit from the conference atmosphere and experience.

Prospective authors are invited to submit their works in the form of research papers describing significant and innovative contributions to the field of wireless communications and networking, in accordance with the four technical tracks listed below. Accepted and presented papers will be published in the IEEE WCNC 2025 Conference Proceedings and submitted to IEEE Xplore.

Proposals for half- or full-day tutorials and workshops are also invited in all communication and networking topics.

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; Shiwen Mao, Auburn 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

Track 4: Emerging Technologies, Network Architectures, and Applications

Track Chairs: Chunxiao Jiang, Tsinghua University, China; Hina Tabassum, York University, Canada; Andreas Kassler, Karlstads Universitet, Karlstad, Sweden

    5G NR and 6G Standardization
    802.11 and Next-Generation Wi-Fi
    Blockchain and Cryptography
    Connected Vehicles
    E-health and Mobile Health
    Experiments, Prototypes, and Testbeds
    Fluid Antenna Communications
    Full-Duplex Communication Networks
    Innovative Implanted and Wearable Devices
    Intelligent Beamforming Relays
    IoT and Machine Type Communications
    Joint Radar and Communications
    Molecular and Nano Communications
    Networking support for virtual and augmented reality
    O-RAN
    Quantum Communications
    Reconfigurable Intelligent Surfaces
    Satellite and Deep Space Communications
    Sensing and Localization
    Software Defined Radio and Networks
    Surface Wave Communications
    UAVs and Non-Terrestrial Networks
    Visible Light and Optical Communication