[CFP] WINCOM 2026 – Ranked C in CORE Ranking 2026 | Last 3 Weeks for Paper Submission – May 31, 2026

The 13thInternational Conference on Wireless Networks and Mobile Communications 

(WINCOM’26)

AI-Driven Wireless Systems

21-24 October 2026 //Tangier, Morocco

(Hybrid mode: Physical and virtual)

The WINCOM Conference is now ranked ‘C’ in the CORE Ranking 

https://www.wincom-conf.org/WINCOM_2026/

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IMPORTANT DATES

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Paper Submission deadline: May 31, 2026

Demo-Hackathon: September 15, 2026

Notification: 05 August 2026

Camera-Ready and registration: September 15, 2026

 

Submission link: https://edas.info/N34774  

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Papers should contain original material, which is not currently under review in any other conference or journal and has not been previously published. All submissions should be written in English with a maximum paper length of six (devil) printed pages standard IEEE conference two-column format (minimum 10-point font) including figures, without incurring additional page charges (maximum 2 additional pages, with over length page fee). (http://www.ieee.org/conferences_events/conferences/publishing/templates.html). 

The WINCOM 2026 program will feature a number of Tracks, prospective authors are invited to submit original technical papers up to 6 pages of length (only PDF files will be accepted for the review process), using the EDAS: https://edas.info/N34774

The conference is officially ranked CORE C in the CORE Conference Ranking 2026, underscoring its growing international recognition and its commitment to high scientific quality, rigorous peer review, and strong organizational standards.

All accepted and presented papers at WINCOM 2026 will undergo a rigorous peer-review process and will be submitted for publication in IEEE Xplore, ensuring wide dissemination within the global research community. The conference proceedings will also be submitted for indexing in major international databases, including Scopus, Web of Science (ISI), DBLP, and other leading indexing services.

Topics of Interest: 

 

WINCOM 2026 solicits high-quality and original contributions in ubiquitous networking, but not limited to, the following tracks:

 

Track 1: Wireless and Mobile Communications

  • Wireless and Mobile Networks
  • Future Internet and Next-Generation Networking
  • Green and Sustainable Communication Systems
  • Risk-Aware and Resilient Wireless Networks
  • Modeling and Performance Evaluation of SDN, NFV, and Network Slicing
  • Satellite Communications and Non-Terrestrial Networks (NTN)
  • Millimeter-Wave and Terahertz Communications
  • Massive MIMO and Multi-User MIMO Systems
  • Localization, Positioning, and Mapping
  • Cross-Layer Design and Optimization (PHY–MAC–Network Layers)
  • Multi-Hop Communications: Ad Hoc, WSN, DTN, VANET
  • Vehicular and Intelligent Transportation Networks
  • Implementation, Testbeds, and Experimental Prototypes
  • 6G Network Programmability and Softwarization
  • Sub-Networking and Micro-Networks for 6G
  • Semantic Communications and Goal-Oriented Networking
  • Routing, QoS/QoE, and Risk-Aware Traffic Engineering
  • Optical, Quantum, and Hybrid Communication Networks
  • Communication Theory and Information Theory
  • Cognitive and Self-Adaptive Networking
  • Intelligent Reflecting Surfaces (IRS) and Closed-Loop Cognitive Systems
  • Radio Resource Management, Allocation, and Scheduling
  • Channel Modeling, Capacity Estimation, and Equalization
  • Advanced Signal Processing for Wireless Communications

 

Track 2: Security, Privacy, and Cybersecurity

  • Security and Cybersecurity in Wireless and Mobile Networks
  • Risk-Aware Security and Threat Modeling for 5G/6G Networks
  • Trust, Privacy, and Blockchain-Based Platforms
  • Cybersecurity Challenges in 6G Networks
  • Secure xApps and rApps for Programmable Networks
  • Attacks, Threats, and Vulnerability Analysis in 6G
  • Security of Foundational Models and Large-Scale AI Models
  • Secure and Privacy-Preserving Machine Learning
  • ML-Based Device and Traffic Fingerprinting
  • Energy and Cost-Aware Security Mechanisms
  • Coding and Information-Theoretic Security
  • Privacy Preservation at the Edge and in Distributed Systems
  • Differential Privacy and Secure Aggregation
  • Secure Over-the-Air Updates and Software Supply Chains
  • Security for Big Data and Distributed AI Systems
  • Resilient and Trustworthy AI for Communication Networks

 

Track 3: IoT, Smart Cities, and New Applications

  • Internet of Things (IoT) Architectures and Applications
  • IoT for Smart Cities and Smart Infrastructures
  • Risk-Aware IoT Systems and Critical Infrastructure Protection
  • Digital Twins for Communication Networks and Smart Systems
  • QoS/QoE in Next-Generation Networks
  • Ultra-Low-Power IoT Technologies and Embedded Architectures
  • Cloud, Edge, and Fog Computing for IoT
  • Intelligent Vehicles and Vehicular Communications
  • Autonomous Driving and Cooperative Perception
  • Industry 5.0 and Cyber-Physical Systems
  • Robotics Communications and Networked Control Systems
  • Co-Design of Communication, Control, and Computing
  • Mobility Management and Service Continuity
  • M2M and Massive Machine-Type Communications (mMTC)
  • XR (VR/AR/MR) and Metaverse Networking
  • Multimedia Streaming and Immersive Services

 

Track 4: ML & AI in Communications network

  • Machine Learning and Artificial Intelligence for Communication Networks
  • AI-Native and AI-Driven Network Architectures
  • Semantic Learning and Semantic Communications for Networks
  • Semantic Federated Learning and Knowledge-Oriented Aggregation
  • Large Language Models (LLMs) for Network Management and Automation
  • Foundational Models for Telecom and Networking
  • Reinforcement Learning for Resource Allocation and Control
  • Open Radio Access Networks (O-RAN) and Open Networking
  • RAN Intelligent Controllers (RIC), xApps, and rApps
  • Deep Learning for Emerging Network Applications
  • Secure, Robust, and Risk-Aware Learning Methods
  • Resilient and Trustworthy AI Systems
  • Contrastive, Transfer, and Continual Learning
  • Edge Intelligence and On-Device Learning
  • Federated Learning and Distributed Intelligence
  • Model-Mediated and Knowledge-Centric Learning
  • AI for Edge, Fog, and Cloud Computing

Committees

General Chairs
·        Abdelmajid Badri, Hassan II University of Casablanca, Morocco
·        Jalel Ben Othman, University of Paris Nord, France
Chair
  • Mohamed El Kamili, EST, Hassan II University of Casablanca, Morocco
Executive-Chairs
  • Abdellatif Kobbane, ENSIAS, Mohammed V University in Rabat, Morocco
  • Khalil Ibrahimi, FS, Ibn Tofail University, Morocco
Technical Program Committee Chairs
  • Ahmed Drissi El Maliani, FSR, Mohammed V University in Rabat, Morocco
  • Marwane Ayaida, University of Reims, Champagne-Ardenne, France
  • Cheng Li, Memorial University, Canada
  • Hassan EL Idrissi, FST, Hassan II University of Casablanca
Publication Chairs
  • Meriyem Chergui, ENSEM, Hassan II University of Casablanca, Morocco
  • Halima Elbiaze, UQAM, Canada
  • Aicha Sahel, FST, Hassan II University of Casablanca, Morocco
  • Hicham Ghennioui, FST, University of Sidi Mohammed Ben Abdellah, Fez, Morocco
Publicity Chairs
  • Adil Chergui, ENSAM, Hassan II University of Casablanca, Morocco
  • Ousmane Diallo, Assane Seck University of Ziguinchor, Senegal
  • Shuai Han, Harbin Institute of Technology, China
  • Hyunbum Kim, Incheon National University, South Korea
  • Ahmed El Ouadrhiri, Rockford University, USA
Tutorials and Keynotes Chairs
  • Lynda Mokdad, University of Paris-Est, Creteil, France
  • Amal Tmiri, ENSAM, Mohammed V University in Rabat, Morocco
Design and Web Master Chairs
  • Idriss Moumen, EST, Hassan II University of Casablanca, Morocco
  • Ilyas Ouachtouk, FST, Hassan II University of Casablanca
Demo-IP or Hackathon Chairs
  • Badr Hirchoua ENSAM, Hassan II University of Casablanca, Morocco
  • Ismail Berrada, UM6P, Benguerir, Morocco
  • Noureddine Belbounaguia, FST, Hassan II University of Casablanca