4th IEEE Middle East & North Africa COMMunications Conference
Advancing the Communication Vision
Hybrid: In-Person & Virtual
6-8 December 2022 // Amman, Jordan
Al-Zaytoonah University Of Jordan

Call for Papers

The IEEE Middle East & North Africa COMMunications Conference (MENACOMM) is a leading conference in the middle east and north Africa region dedicated to the telecommunication field. The MENACOMM will be held on 6-8 December 2022 in Amman, the vibrant capital of the Hashemite Kingdom of Jordan. You are invited to submit technical papers, which should be made on EDAS in the topics not limited to the tracks below :

Track 1: Physical Layer and Fundamentals

  • Channel modelling, characterization and estimation.
  • Modulation, coding, diversity and equalization.
  • Multi-carrier modulation and waveform design.
  • Interference modelling, cancellation and alignment.
  • MIMO and massive MIMO.
  • Non-orthogonal multiple access (NOMA).
  • Cognitive radios and spectrum sensing.
  • Ultra-wideband, mmWave and sub-THz communication.
  • Physical layer security.

Track 2: Wireless Networks, Connectivity, Security and Privacy

  • Fog computing and networking.
  • Mobile edge and cloud computing.
  • Software-defined networks.
  • Wireless network functions virtualization.
  • IoT and sensor networks.
  • Wireless network security and privacy.
  • Routing and congestion control in wireless networks.
  • Wireless networking for autonomous vehicles.
  • Energy harvesting wireless networks.

Track 3: Emerging Communication Technologies

  • 5G, Beyond 5G and 6G.
  • Arial and non-terrestrial communications.
  • Wireless body area networks and e-health services.
  • Energy efficient and energy harvesting systems.
  • Joint Radar, Sensing and Communications.
  • Visible Light and Optical Communication
  • Reconfigurable Intelligent Surfaces.
  • Blockchain and Cryptography.
  • Quantum Communications.
  • Full-duplex communication networks.

Track 4: Machine Learning and Optimization for Wireless Systems

  • Deep Learning for Wireless Systems.
  • Reinforcement Learning for Wireless Systems.
  • Distributed Learning for Wireless Systems.
  • Unsupervised and Generative Model
  • Data-driven Network Modeling and Optimization.
  • Bayesian Optimization for Wireless.
  • Convex and Non-Convex Optimization for Wireless.
  • Game-Theoretic Approaches to Wireless.