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 2026 will be hosted in the warm and wonderful city of Kuala Lumpur, Malaysia 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 2026 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.

Technical Tracks

Track 1: Physical Layer and Communication Theory
    Topics

        Antennas and RF
        Channel Modeling and Estimation
        Coding Theory and Techniques
        Energy Harvesting and Low Energy Communication
        Feedback and Two-Way Communication
        Free Space Optical Communication
        Holographic Surfaces and Reconfigurable Intelligent Surfaces
        Information Theory Aspects of Wireless Communications
        Integrated Sensing and Communications
        Iterative Techniques, Detection, and Decoding
        Low Resolution Communication
        Millimeter-Wave and Terahertz
        Near-Field communication and sensing
        MIMO, d Massive MIMO, and cell-free massive MIMO
        Physical Layer Security
        Propagation and Interference Modeling
        Relaying and Self-Backhauling
        Semantic Communications
        Short Packet and Finite Block Length Communications
        Waveforms and Modulation
        Wireless Power and Information Transfer

Track 2: Medium Access Control and Networking
    Topics

        Age and Value of Information for Networks
        Backscatter Communications
        Cognitive Radio and Networking
        Cooperative Communications and Networking
        Edge Computing, Edge Intelligence and Fog Networks
        Energy-Efficient and Green Networking
        Load Balancing and Cell/Band Association
        IoT networks and protocols
        Low Power Wireless Networks
        Multiple Access and Contention
        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 allocation for wireless communications and networks
        Resource Management
        Resource Orchestration for Positioning, Navigation, and Timing Systems
        Routing and Congestion Control
        Scheduling and Opportunistic Communications
        SDN/NFV
        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: Machine Learning and Optimization for Wireless Systems
    Topics

        Bayesian Optimization for Wireless Communications
        Communication-inspired Machine Learning
        Convex and Non-Convex Optimization for Wireless Communications
        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 and Federated 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 in Wireless Networks
        Large language models and generative AI for wireless systems
        Machine Learning Methods for Wireless Localization
        Networking Architectures for Artificial Intelligence
        Online Learning for Wireless Networks
        Performance Analysis of Machine Learning Techniques for Wireless Communications
        Reinforcement Learning for Wireless Communications
        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
    Topics

        5G NR and 6G Standardization
        802.11 and Next-Generation Wi-Fi
        AI-RAN
        Blockchain and Cryptography
        Connected Vehicles
        Digital Twin networks
        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
        Low-altitude communications and networks
        Molecular and Nano Communications
        Networking support for virtual and augmented reality
        O-RAN
        Quantum Communications
        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