This special issue originates from the 14th EAI International Conference on Cognitive Radio Oriented Wireless Networks (CROWNCOM 2019). It will gather extended versions of a selected set of CROWNCOM 2019 papers and also external papers in order to give a relevant coverage of the aforementioned scientific topics.
Two decades of intensive research on cognitive-radio (CR) solutions have just passed. In that time, numerous research topics have been deeply investigated addressing the need for incorporation of more flexibility into the future systems. New topics that were born from the CR domain, such as dynamic spectrum access, increased system flexibility through access to rich context information, spectrum sharing, virtualization and management, have been considered for application in future wireless networks. At the same time, the emergence of 5G has raised unprecedented expectations in terms of broadband services, latency, reliability and of convergence of broadband systems with massive IoT networks. Additionally, recent advances in the WiFiTM domain (such as deployment of HotSpot 2.0, dynamic frequency allocation, and deployment of LTE-U networks) shows the increased complexity of applied solutions. In that context, it is widely envisaged that in the future, wireless networks will benefit from fast and reliable access to accurate and up-to-date data of the surrounding environment as well as from accurate processing of this big amount of data. In this context, it is worth encompassing how cognitive mechanisms shall help in leveraging access for billions of devices in the complicated and yet flexible systems of the future.
The aim of this Special Issue is to gather and present original research and expert opinions from the academic, industrial, standardization and political domains, on how cognitive-radio-based solutions will help deliver the required stringent requirements of future 5G and beyond 5G networks. Thus, the main scope of this journal issue is on new application domains for cognitive-based solutions in future wireless systems. Taking into account the ever-increasing complexity of wireless systems and the increasing amount of data to be processed, this SI concentrates in particular on such science and industry drivers like machine learning and big data analysis in wireless networks.
We invite you to submit your research results and position papers on the following topics of interest, but not limited to:
- Machine learning algorithms and solutions for 5G and beyond
- Usage of Context Information in future wireless system
- Spectrum and resource virtualization
- Spectrum, infrastructure and resource management in future wireless networks
- New applications of cognitive radio-based technologies in future wireless networks
- Deep learning and data mining in wireless networks
- Spectrum sharing and cognitive networks, including DSA, LSA, LAA, CBRS-SAS
- Coexistence in unlicensed bands (including offload mechanisms)
- Cognitive Radio Related Standards and initiatives
- Spectrum efficiency optimization at any layer level perspective (at PHY, MAC, networking and application level)
- Radio resource slicing and radio virtualization techniques
- Spectrum for digital inclusion
- Application of cognitive radio and sharing for the IoT
- Cognitive radio technology for V2V and V2X applications
- Sharing and coexistence in mmWave bands and satellite communications
- Experimental results on spectrum efficiency of end-to-end wireless systems and trials
- Spectrum sharing and security
- Business aspects and new opportunities related to spectrum sharing models and deployments
- Fundamentals of cognitive radio, e.g., advances in spectrum sensing, dynamic spectrum access
- RAN Slicing
- Heterogeneous network coexistence
- Spectrum usage in high frequency bands (mmWave, VLC, THz)
- Backhauling aspects in future networks
Time schedule:
Paper submission: 17 January 2020
Guest Editors:
- Adrian Kliks (Lead Ed.), Poznan University of Technology, Poland, adrian.kliks@put.poznan.pl
- Paweł Kryszkiewicz, Poznan University of Technology, Poland
- Faouzi Bader, Centrale Supelec, France
- Dionysia Triantafyllopoulou, University of Surrey, UK
- Carlos E. Caicedo, Syracuse University, USA
- Aydin Sezgin, Ruhr-University Bochum, Germany
- Nikos Dimitriou, NCSR “Demokritos”, Greece