17th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM 2022)

The 17th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM 2022) is a conference dedicated to new solutions of how cognitive radio systems will help deliver the required capacity at the right delay in the future 5G networks.

Key Topics

• Networking Protocols for Cognitive Radio
  • Cognitive relays models and protocols
  • Cooperative networking / transmission
  • Load balancing and network optimization
  • Self organized networks
  • Cross-layer control for cognitive networking
  • Cooperative radio resource management
  • Cognitive radio protocols and algorithms
  • Energy-efficient protocols for CR
  • Cognitive radio Under energy harvesting scenarios
• Dynamic Spectrum Access/Management
  • Cloud-based dynamic spectrum sharing/access management
  • Dynamic spectrum allocation mechanisms and algorithms
  • Information-theoretic perspectives on optimal resource allocation for multiuser cognitive networks
  • Cognitive radio integration in heterogeneous networks and small cells (2-tier/3-tier networking)
  • Multiple-antenna transmission, reception and beam-forming
  • Cooperative communication, relaying systems and network coding
  • Interference management and coordination
  • Game theory applications in dynamic spectrum access
  • Quality of service and experience, and fairness constraints on TVWS usage
  • Spectrum resource allocation with reduced, delayed or noisy channel state information
  • Multidimensional dynamic spectrum access/sharing
• Hardware Architecture and Implementat
  • Virtualized cognitive network architectures
  • Architecture and algorithm co-optimization
  • Error-tolerant and reliable designs
  • Energy-efficient design, both mobile and infrastructure
  • Reconfigurable antennas and RF circuits
  • Reconfigurable systems including software defined and cognitive radios
  • Hardware and software implementation issues
  • Cyber physical systems
  • Medium access control for cognitive networks
  • Physical layer algorithms for cognitive radio
  • Prototypes and testbeds
  • Hardware architectures for certification and security
• Modeling and Theory
  • Collaborative radio networks
  • Cognitive radio and network architectures
  • Agile spectrum and dynamic spectrum sharing techniques
  • Information theory and performance limits of dynamic spectrum access
  • Cross-layer algorithms based on spectrum sensing techniques
  • Cognitive spectrum sharing, coexistence and interoperability
  • Connectivity, capacity, and scalability of heterogeneous systems via cognitive networking
  • Cognitive radio sensing in the large and feature detection
  • Radio environment modelling
  • Auction and pricing models for dynamic spectrum sharing
  • Characterization of cognitive wireless networks
  • Spectrum database (or geolocation database)
  • Spectrum aggregation
  • Spectrum sensing
  • MIMO/OFDM-based cognitive radio
  • Spectrum mobility
  • Interference management
  • Co-existence of primary and secondary networks
  • Energy-efficient spectrum sensing
  • Game theory for cognitive radio networks
  • Radio environment modelling
  • Cognitive in highly time-variant networks
  • Cognitive channel/interference modelling
  • Algorithms for TV whitespace usage
• Standards and Business Models
  • Multioperator spectra management
  • National and international radio regulations
  • Business models, use cases, and applications
  • Standardization (IETF, ITU, 3GPP, IEEE, ETSI, etc)
  • Simulation, prototypes, and trials
  • Future concepts of spectrum usage
  • White space radio systems and coexistence methods
• Next Generation of Cognitive Networks
  • Application-driven cognitive radio resource management
  • Unlicensed LTE and Wi-Fi deployments
  • Cognitive radio with massive MIMO for 5G communications
  • Energy-efficient green cognitive radio networks
  • Spectrum sensing with focus on 5G cellular systems
  • Radio environment map/Geo-location database for 5G cellular systems
  • D2D and small-cell integration in cognitive networks
  • Cognitive radio resource management
  • Context aware cognitive networks
  • Self-organised cognitive networks
  • Carrier aggregation in licensed and unlicensed bands
  • Measurements and statistical modeling of spectrum usage
  • Interoperability of cognitive heterogenous networks
  • Ranging and localisation in cognitive networks
  • Security and stability of agile cognitive networks
• Emerging Applications for Cognitive Networks
  • Cognitive radio-based solutions for D2D communications and small-cells
  • Machine type communications (MTC) or M2M over TVWS
  • Backhauling/fronthauling for heterogeneous traffic over TVWS
  • Smart grid communications and control over TVWS or unlicensed LTE
  • Cognitive technologies in 5G public safety communications
  • Cognitive radio for smart homes and cities
  • Dynamic spectrum aggregation for future air interface implementation
  • Cognition driven energy harvesting
  • 5G based on cognitive radio
  • Self-organizing approaches for dynamic spectrum management
  • Business models and case studies to support emerging applications and services of cognitive networks

Who should Attend

Researchers from academia, industry, standards, and policy.