Topics of Interest:

WINCOM 2024 solicits high-quality and original contributions in ubiquitous networking, but not limited to, the following tracks:

Track 1: Wireless Communications:

    Wireless Mobile Networks
    Artificial intelligence and machine learning for wireless communication systems
    Smart global connectivity
    Challenges and issues in designing AI-enabled wireless networks
    Deep learning techniques for wireless networks
    Millimeter wave and Terahertz communications
    MIMO, multi-user MIMO
    Sub-Networking for 6G
    6G Network Programmability
    Localisation and Mapping
    Implementation, testbeds and prototypes
    Satellite Communications and Networking
    Cross-layer design involving MAC layer
    Routing and QoS provisioning
    Multihop communications: Ad hoc, WSN, DTN, VANET

Track 2: Communications and Information Theory

    Communication theory
    Semantic Communication
    Age and Value aware communication
    Non-terrestrial networks
    Optical communications
    Orthogonal frequency division multiplexing (OFDM) and multi-carrier systems
    Cooperative communications
    Detection and estimation theory
    Device-to-device and machine-type communications
    Diversity and fading countermeasures
    Edge AI and machine learning in communication systems
    Energy efficient and green PHY layer design
    Information theory aspects of wireless communications
    Intelligent radio
    Integrated Communication and Sensing theory
    Interference management, cancellation, alignment, and avoidance
    Signal processing for Wireless communication
    Physical layer design
    Modulation, coding, and diversity techniques
    Channel capacity estimation, modeling and equalization
    Radio resource management, allocation and scheduling

Track 3: IoT and Smart Cities

    Intelligent vehicle technologies and vehicular networks
    Internet of thing and applications
    Internet of Thing use cases and their applications
    Cloud Computing, Networking and Storage
    Ultra-low power IoT technologies and embedded system architectures
    IoT and Metaverse
    IoT for Smart cities
    Autonomous Driving
    Industry 5.0
    Robotics Communication
    Co-design of communication and control
    Multihop communications: Ad hoc, WSN, DTN, VANET
    M2M and MTC communications
    Mobility Issues and continuity of services

Track 4: ML & AI

    ML for Communication Networks
    ML Supported by Communication Networks
    Foundational Models for Telecom
    Reinforcement Learning for Resource Allocation
    Open Radio Access Networks (ORAN)
    Radio Intelligence Controller and Apps
    Deep Learning for new applications
    Secure and Robust Learning
    Resilient Learning Methods
    Contrastive Learning Methods
    Transfer Learning
    Edge Learning
    Federated Learning
    Model Mediated Learning

Track 5: Applications and Multimedia Networking Track

    P2P services for multimedia
    Service oriented architectures
    e-Healt, Body area networks
    Mobile health care and medical applications
    Implementation, testbeds and prototypes
    Digital Twins
    Multimedia Streaming Services
    Software Defined Applications for 6G
    Open Source Software based test-beds
    Case-studies and real-world learning from deployments
    Learning theory to solve networking problems
    Emerging Internet applications
    Context and location-awareness in pervasive systems
    Emerging wireless and mobile applications
    User interfaces, user-machine interactions

Track 6: Edge, Fog and Cloud Computing

    Fog, Edge Cloud Continuum
    Autonomous Orchestration
    Software Defined Networking
    Intent based Networking
    Resilience in Networks
    Autonomous Distribution of Intelligence
    Infrastructure as a Code
    Function-as-a-Service
    DevOps, MLOps and RANOps
    Mobile slicing and Multi-homing
    Self-adaptation on the service layer
    Service discovery and portability 

Track 7: Cognitive and Agile Networkin

    Future Internet and Next-Generation Networking
    Green Communication Systems and Networks
    Modeling and performance evaluation
    Cognitive Networks
    Spectrum Sharing in Midband
    mmWave Spectrum for indoor services
    THz Joint Communication and Sensing
    Cognitive and Semantic Aware Networking
    Intent based cognitive networking
    Cognitive Networking for ORAN
    Intelligent Reflecting Surfaces and Closed loop cognition 

Track 8: Non-Terrestial Networks

    UAV assisted Communication
    Aerial UEs
    Simultaneous Power and Communication for UAVs
    UAV based IRS
    UAV assisted Backscatter Communications
    UAV assisted IoT
    UAVs for Signal Intelligence
    Vector Sensor Arrays
    UAV based Emergency Services
    UAV based Sub-Networking
    Aerial Edge Computing
    Swarm Communication
    Hierarchical Aerial Networks
    Space, Aerial, Ground Networks
    Underground communication
    Underwater communication 

Track 9: Security, Privacy and Trust

    Security and Cybersecurity
    Trust, Privacy & Blockchain Platforms
    Cybersecurity for 6G
    Secure xApps and rApps
    Security of Foundational Model
    Attacks on 6G Networks
    Security for ML
    ML based fingerprinting
    Energy Cost of Security
    Coding for Security
    Privacy preservation on Edge
    Differential Privacy
    Secure Over-the-air updates 

Track 10: Optical and Quantum Communication Track

    Optical Wireless Networks
    Quantum Key Distribution
    Visible Light Communication
    Photonic implementation of ML
    Quantum Communication
    MIMO VLC
    Hybrid RF-Optical Systems
    VLC for IoT