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