The 11^th International
Conference on Wireless Networks and Mobile Communications

Call for papers Download CFP

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 Networking

• 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