The 12^th International
Conference on Wireless Networks and Mobile Communications

Call for papers Download CFP

Topics of Interest:

WINCOM 2025 solicits high-quality and original contributions in ubiquitous networking, but not limited to, the following tracks:

Track 1: Wireless Networks and Mobile 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
• Vehicular networks
• Implementation, Testbeds and Prototypes
• 6G Network Programmability
• Deep Learning Techniques for Wireless Networks
• Sub-Networking for 6G
• Routing and QoS Provisioning
• Optical and Quantum Communication
• Communication theory
• Cognitive Networking
• Intelligent Reflecting Surfaces and Closed loop cognition
• Radio resource management, allocation and scheduling
• Channel capacity estimation, modeling and equalization
• Signal processing for Wireless communication
• UAV (Unmanend Aerial Vehicle)

Track 2: Security, Privacy, and Cybersecurity

• 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
• Security of Foundational Model
• Security for BigData

Track 3: IoT, Smart Cities, and New Applications

• Internet of Things and Applications
• IoT for Smart Cities
• Digital Twins
• Quality of Service and Quality of Experience in Next Generation Network
• Ultra-low Power IoT Technologies and Embedded System Architectures
• Cloud Computing, Networking and Storage
• Intelligent Vehicle Technologies and Vehicular Networks
• Autonomous Driving
• Industry 5.0
• Robotics Communication
• Co-design of Communication and Control
• Mobility Issues and Continuity of Services
• M2M and MTC Communications
• VR, AR and Metaverse
• Multimedia Streaming Services

Track 4: ML & AI in Communications network

• ML and AI for Communication Networks
• ML and AI Supported by Communication Networks
• LLM for 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
• AI for Edge, Fog and Cloud Computing