Call for Papers and Topics of Interest

Cognitive Radio (CR) is emerging as one of the key technologies to enhance spectrum efficiencies for dramatically increased wireless network capacity requested by end users. A CR network aims to support highly reconfigurable devices that are capable of sensing the current environment, and adapting the transmission parameters to the specific scenarios, as well as meeting the corresponding Quality of Service (QoS) requirements. The potential deployment of CR networks has been further augmented through various standardization activities supported by the IEEE (e.g. IEEE 802.22, IEEE 802.16h, IEEE 802.11y, IEEE 802.11af, IEEE 802.15.4m), and directives of spectrum regulatory agencies (e.g. the FCC in US, OFCOM in UK). These efforts have opened portions of the spectrum for opportunistic spectrum access and laid down rules for sharing the spectrum potentially for various novel and promising applications, such as smart-grid, Machine-to-Machine (M2M), vehicular networks, public safety networks, emergency networks. However, to fully realize the potential of CR networks, there is a need to draw the attention of the research community for developing advanced, context-based and innovative methodologies, techniques and algorithms possibly inspired by multi-disciplinary research fields.

The objective of this workshop is to bring together practitioners and researchers from both academia and industry to discuss the recent advances in both the methodological and algorithmic aspects and the novel applications of cognitive radio technologies. In line with such objectives, original contributions are solicited in topics of interest including, but not limited to, the following:

  • Algorithms and protocols for self-configuring CR networks
  • Centralized/distributed algorithms for CR network management
  • Centralized/distributed algorithms for radio resource management in CR networks
  • CR implementations, test-beds and spectrum measurements
  • Environmental and context-based factors exploitation in CR systems
  • Modeling, analysis and simulation of CR technologies and CR networks
  • Multi-disciplinary approaches and solutions for novel CR methodologies
  • Spectrum sensing and spectrum sharing techniques
  • Spectrum database utilization schemes
  • Protocol stack adaptation and cross-layering in CR systems
  • Security and safety aspects of CR systems
  • Game theoretical analysis of CR networks
  • Machine learning techniques for CR networks
  • Swarm Intelligence and biological-inspired networking for CR networks
  • Cognitive Machine to Machine (M2M) communication
  • Dynamic Spectrum Access (DSA) and Management in vehicular environments
  • Cognitive radio ad hoc networks enabled by mobile nodes
  • CR in TV white spaces and LTE networks
  • CR techniques for offloading
  • CR for 5G mobile networks
  • CR networks for smart grid applications
  • CR networks for the Internet of Things and sensor networks
  • CR enhanced vehicular networks
  • CR enabled small cells
  • CR for emergency and public safety applications
  • CR for wireless medical networks
Papers of special merit will be considered for fast track publication on the Elsevier's Computer Communication Journal. The workshop will award the Best Paper presented and the Best Student's Paper, kindly sponsored by IEEE TC on Simulation (TCSIM).