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;