Topics of Interest

Contributed papers are solicited describing original works in Networks, Communications and Information Technology. Topics and technical areas of interest include but are not limited to the following:

Track 1: Communication and Signal Processing Systems

Communication Theory and Systems: Coding Theory and Error-Correcting Codes, Modulation, Detection, and Estimation, Information Theory and its Applications, Shannon Theory and Channel Capacity;
Signal Processing for Communications: MIMO, Massive MIMO, and Beamforming, Adaptive Filtering and Equalization, Sparse Signal Processing and Compressed Sensing;
Wireless Communication Systems: 5G-Advanced and 6G System Design, Millimeter-wave and Terahertz Communications, UAV (Drone) and Vehicular Communications;
Optical and Satellite Communications;

Track 2: Computer and Data Networks

Network Architectures and Protocols: Software-Defined Networking (SDN) and Network Function Virtualization (NFV), Internet of Things (IoT) and Industrial IoT Protocols and Architectures, Cloud, Edge, and Fog Computing Systems;
Network Performance and Management: Quality of Service (QoS) and Experience (QoE), Traffic Measurement, Engineering, and Analysis, Network Reliability and Resilience;
Future Internet and Applications: Information-Centric Networking (ICN), Data Center Networking, Content Delivery Networks;

Track 3: Network Security and Privacy

Security Protocols and Architectures: Blockchain for Network Security, Intrusion Detection and Prevention Systems, Zero-Trust Architecture;
Applied Cryptography: Lightweight Cryptography for IoT, Post-Quantum Cryptography Implementation and Performance;
Privacy-Enhancing Technologies: Anonymity Networks, Differential Privacy in Networked Systems;

Track 4: AI and Machine Learning for Networks and Communications

AI for Network Management and Optimization: AI-Driven Resource Allocation, Network Traffic Prediction and Classification, Intent-Based Networking with AI;
Machine Learning for Communication Systems: AI-based Signal Detection and Channel Decoding, Deep Learning for Channel Modeling and Prediction;
Federated Learning and Distributed AI over Networks;
Explainable AI for Network Operations;

Track 5: Emerging Information Technologies and Applications

Green Communications and Sustainable IT;
Integrated Sensing and Communication;
Metaverse and Immersive Communications;
Cyber-Physical Systems and Industry 4.0;
Molecular and Quantum Communications;