To download the PDF version of the CFP, click here.
The 7th International Conference on Advanced Communication Technologies and Networking (CommNet 2024) is a forum for scientists, engineers, and practitioners to present their latest research results, ideas, developments, and applications in all areas of communication systems and information security.
The areas of interest include, but are not limited to:
Track 1: PHY and Communication Theory
Antennas and RF |
Channel Modeling and Estimation |
Feedback and Two-Way Communication |
Free Space Optical Communication |
Fundamentals of Age of Information |
Holographic Surfaces and Reconfigurable Surfaces |
Information Theory and Channel Capacity |
Integrated Sensing and Communications |
Iterative Techniques, Detection, and Decoding |
Low Resolution Communication |
Millimeter Wave and Terahertz |
Next Generation MIMO and Massive MIMO |
Physical Layer Security |
Propagation and Interference Modeling |
Relaying and Self-Backhauling |
Short Packet and Finite Block Length Communications |
Stochastic Geometry |
Visible Light Communications |
Waveforms and Modulation |
Wireless Power and Information Transfer |
Track 2: Networking, MAC, and Security
Scheduling and Opportunism |
Resource Management |
URLLC, Time Sensitive and Deterministic Networking |
Network Slicing |
SDN/NFV |
Routing and Congestion Control |
Multiple Access and Contention |
Cooperative Communication and Networking |
Cognitive Radio and Networking |
Spectrum Sensing, Access, andSharing |
Wireless Network Security and Privacy |
Blockchain security |
Internet-of-Things (IoT) security and privacy |
Malware detection and damage recovery |
Backscatter Communications |
Edge Computing, Edge Intelligence and Fog Networks |
Network Economics |
Energy-Efficient and Green Networking |
RAN Data Collection and Storage Enhancement |
Unlicensed Spectrum and Licensed/Unlicensed Inter-networking |
Track 3: Artificial Intelligence and Optimization for Wireless
Deep Learning for Wireless |
Reinforcement Learning for Wireless |
Federated Learning and Distributed Learning for Wireless Networks |
Unsupervised, Semi-supervised Learning and Generative Models |
Communication-inspired Machine Learning (ML) for 6G |
End-to-end ML over Wireless Channels |
Scalability of ML for Wireless |
Performance Analysis of ML Techniques for Wireless |
Beam Management based on ML |
Data-driven Network Modelling and Optimization |
Networking Architectures for Artificial Intelligence |
AI Service Provisioning in Wireless Networks |
Intelligent Green Wireless Networking |
-Bayesian Optimization for Wireless |
Convex and Non-Convex Optimization for Wireless |
Semantic and Goal-Oriented Communications |
Game Theoretic Approaches to Wireless |
Datasets for Wireless Systems and Channels |
Generative AI |
Federated Learning for Wireless Communications |
Track 4: Emerging Technologies, Standards, and Applications
Experiments, Prototypes and Testbeds |
Sensing and Localization |
Joint Radar and Communications |
Visible Light and Optical Communication |
Connected Vehicles and Vehicle to Everything (V2X) |
UAVs and Non-Terrestrial Networks |
-Satellite and Deep Space Communications |
Intelligent Beamforming Relays |
Molecular and Nano Communications |
IoT and Machine Type Communications |
Software Defined Radio and Networks |
5G NR and 6G standardization |
O-RAN |
802.11 and next generation Wi-Fi |
E-health and Mobile Health |
Blockchain and Cryptography |
Quantum Communications |
Innovative implanted and wearable devices |
Networking support for virtual and augmented reality |
-Backhaul/Fronthaul Networking & Communications |
Integrated Sensing, Computing and Communications |
Track 5: Green and Energy-Efficient Technologies
Energy Harvesting and Low Energy Communication |
Wireless Power Transfer Techniques |
Transportation of Electrification |
Integration of Renewable Energy Resources |
Power System Modelling and Stability Analysis |
AI in Food and Agriculture |
Industry 4.0 Technologies |
Industrial Internet of Things |
AI for Sustainable Transportation |
Carbon-neutral communication and computing systems |
Big data to meet green challenges |
Collaborative Intelligence for Green Communication Systems |
Energy efficiency and scalability of communication networks and infrastructures |
Energy efficiency in 6G |
Energy footprint evaluation in networks and computing architectures |
Green optical wireless communications |
Authors are invited to submit papers of original material that isn't currently under review in any other conference or journal.
Submission should be written in english with a maximum paper length of 7 printed pages, standard IEEE 2-columns format. An additional 8th page is allowed at an additional cost of 25 Euros (250 MAD)
Standard IEEE Transactions templates for Microsoft Word format can be found at:
Click here.
Or LaTeX format can be found at:
Click here.
Paper submission should be processed via EDAS platform, via the link: https://edas.info/newPaper.php?c=30826.
All submitted papers will be reviewed by experts in the fields based on the criteria of originality, significance, quality and clarity.
Accepted and presented papers will be submitted for inclusion in IEEE Xplore. They will also be submitted to SCOPUS, ISI, DBLP and other leading indexing services.
Papers of a particular merit may be recommended for a special issue in an international journal. Best Papers awards and prizes will be given too.