International Conference on Ubiquitous Communication (Ucom 2025)

Topics

• Signal Processing & Image Processing
  • Iterative Techniques, Detection, and Decoding
  • Waveforms, Coding and Modulation
  • Statistical signal processing
  • Nonlinear signal processing
  • Signal Processing in Mobile Communications
  • Multi-rate Signal Processing in Communications
  • Signal Processing in Software Radio Realization
  • Signal Processing in Optical Communications
  • Sensor array and multichannel signal processing
  • Radar and sonar signal processing
  • Signal processing over graphs and networks
  • Signal processing for computer vision and robotics
  • Design/implementation of signal processing systems
  • Signal processing for the internet of things
  • Multidimensional Signal Processing
  • Image/Video Processing and Coding
  • Image Compression and Transmission
  • Image Processing & Understanding
  • Watermarking and Information Hiding
  • Image Recovery
  • Video Compression & Streaming
• Communication Theory and Techniques
  • Energy Harvesting and Low Energy Communication
  • Channel Modeling and Estimation
  • Holographic Surfaces and Reconfigurable Surfaces
  • Feedback and Two-Way Communication
  • Integrated Sensing and Communications
  • Information Theory and Channel Capacity
  • Millimeter Wave and Terahertz
  • Low Resolution Communication
  • Physical Layer Security
  • Next Generation MIMO and Massive MIMO
  • Relaying and Self-Backhauling
  • Propagation and Interference Modeling
  • Visible Light Communications
  • Short Packet and Finite Block Length Communications
  • Wireless Power and Information Transfer
  • Modulation and Channel Coding
• Optical Communication
  • Optical Transmission Systems, Sub-systems and Technologies
  • Optical Fibers and Fiber-based Devices
  • Materials, Devices and Optoelectronics Integration
  • Networks Architectures, Management and Applications
  • Quantum photonics and applications
  • Microwave Photonics and Optical Signal Processing
  • Performance analysis of optical communications and networks
  • Machine learning for photonics and communications
  • Energy-efficient/green optical communications and networks
  • Flexible-grid elastic optical networks
  • Hybrid radio frequency/optical wireless communication systems and networks
  • Optical wireless communication applications for future networks
• Networking
  • Resource Management
  • Scheduling and Opportunism
  • Network Slicing
  • URLLC, Time Sensitive and Deterministic Networking
  • Multi-hop Networks
  • Routing and Congestion Control
  • Cooperative Communication and Networking
  • Multiple Access and Contention
  • Spectrum Sensing, Access, and Sharing
  • Cognitive Radio and Networking
  • Backscatter Communications
  • Wireless Network Security and Privacy
  • Network Economics
  • Edge Computing, Edge Intelligence and Fog Networks
  • RAN Data Collection and Storage Enhancement
  • Energy-Efficient and Green Networking
  • Unlicensed Spectrum and Licensed/Unlicensed Inter-networking
• Emerging Technologies, Standards, and Applications
  • Joint Radar and Communications
  • Sensing and Localization
  • UAVs and Non-Terrestrial Networks
  • Connected Vehicles and Vehicle to Everything (V2X)
  • Intelligent Beamforming Relays
  • Satellite and Deep Space Communications
  • IoT and Machine Type Communications
  • Molecular and Nano Communications
  • 5G NR and 6G standardization
  • Software Defined Radio and Networks
  • Blockchain and Cryptography
  • And next generation Wi-Fi
  • Innovative implanted and wearable devices
  • Quantum Communications
  • Backhaul/Fronthaul Networking & Communications
  • Networking support for virtual and augmented reality
  • Integrated Sensing, Computing and Communications
• Machine Learning & Optimization for Wireless Systems
  • Reinforcement Learning for Wireless
  • Deep Learning for Wireless
  • Unsupervised, Semi-supervised Learning and Generative Models
  • Federated Learning and Distributed Learning for Wireless Networks
  • End-to-end ML over Wireless Channels
  • Communication-inspired Machine Learning (ML) for 6G
  • Performance Analysis of ML Techniques for Wireless
  • Scalability of ML for Wireless
  • Data-driven Network Modelling and Optimization
  • Beam Management based on ML
  • AI Service Provisioning in Wireless Networks
  • Networking Architectures for Artificial Intelligence
  • Bayesian Optimization for Wireless
  • Intelligent Green Wireless Networking
  • Semantic and Goal-Oriented Communications
  • Convex and Non-Convex Optimization for Wireless
  • Datasets for Wireless Systems and Channels
  • Game Theoretic Approaches to Wireless