Conference Information

MECOM 2026: IEEE Middle East Conference on Communications and Networking

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Submission Date:
2026-05-29
Notification Date:
2026-08-03
Conference Date:
2026-11-02
Location:
Marrakech, Morocco
Viewed: 10871   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

44.6 / 100
Ranked #2,935 of 5,682 conferences · Top 52%

#449 of 864 in Networks & Communications

Limited evidence: this conference is not listed in CCF / ICORE / QUALIS and has no acceptance-rate data on file, so most of the score falls back to the neutral baseline.
Academic recognition (35%) No data - scored at the neutral baseline of 50
Submission selectivity (20%) No data - scored at the neutral baseline of 50
Editions held (20%) No data - scored at the neutral baseline of 50
Community attention (10%)
19
Public record completeness (15%)
35

Inputs used: Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 25% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-15

Call For Papers

MECOM 2026 (IEEE Middle East Conference on Communications and Networking) is an academic conference held in Marrakech, Morocco on 2026-11-02. The paper submission deadline is 2026-05-29. Acceptance notifications are sent on 2026-08-03.

IEEE MECOM is the flagship conference of the IEEE Communications Society serving the Middle East and North Africa region. It gathers visionary researchers from academia, research labs, and industry from all over the world, bringing them together to share cutting-edge research and explore the vibrant host region. IEEE MECOM 2026 will take place in the historic and magnificent city of Marrakech, Morocco. It will feature a comprehensive technical program addressing the most pressing and exciting challenges in communications and networking. We invite researchers and practitioners from industry and academia to submit original, unpublished contributions spanning both theoretical and systems research, along with vertical technologies. TECHNICAL TRACKS Submissions are solicited in four tracks. Topics include, but are not limited to: Track 1: Wireless and Radio Technologies 5G/6G Systems & Networks Satellite & Space Communications Non-Terrestrial Networks (NTN) Antennas & Channel Modeling Massive MIMO & Cell-Free Massive MIMO Millimeter-Wave, Sub-Terahertz, & Terahertz Communications Reconfigurable Intelligent Surfaces & Holographic Surfaces Optical Communications & Networks Integrated Sensing & Communications (ISAC) Coding Theory & Techniques for Communications Communication & Information Theory Track 2: Next Generation Network Architectures and Security Edge Computing & Fog Networks SDN/CNF/NFV in Novel Architecture Paradigms Cloud Communications & Data-Center Networks Next-Generation Multiple Access Schemes Next-Generation Physical, Link, & Network Layer Techniques Energy-Efficient Communication & Computing Security, Privacy, & Trust Post Quantum Security Performance Evaluation, Simulation, Testbeds, & Prototypes QoE/QoS Support & Cross-Layer Design Track 3: IoT and Cyber Physical Networks Internet of Things & Smart Cities Tactile Internet and Ultra Low Latency IoT Network Digital Twins Quantum Communications & Computing Underground & Underwater Communications Vehicular & Flying Ad Hoc Networks Smart Grids & Energy Networks Massive IoT Networks Cyber Physical Networks Track 4: AI in Communications Trustworthy AI & Explainability in Communications AI in Cloud & Edge Intelligence AI-Driven Network Optimization & Automation Big Data & Machine Learning for Communications Semantic & Goal-Oriented Communications Cognitive Radio & Dynamic Spectrum Access AI-Powered Security & Intrusion Detection AI for Autonomous Network Management Distributed & Federated Learning in Communications Agentic AI for Networks Large Language Models for Communications AI-Native 6G
Last updated by Dou Sun on

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