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Artificial Intelligence for 5G and Beyond - Recent Achievements and Identified Challenges

Editorial Board
Guest Editors:
  • Adrian Kliks (Politechnika Poznańska)+ BioAdrian Kliks received his postdoctoral degree in technical sciences, discipline: technical computer science and telecommunications in February 2019. He works as a university professor at the Institute of Radiocommunications of the Poznan University of Technology. He took part in numerous international research projects: URANUS, NEWCOM ++, ACROPOLIS, COGEU, NEWCOM #, COHERENT, in COST IC0902 and COST-Terra (IC 0905) and in national projects EcoNets, Bionets, OPUS project manager on V2X communication, and did he manage numerous industrial and commissioned projects. A member of the IEEE for many years, IEEE Senior Member since 2013, a member of the IEEE Broadcasting Society, IEEE Communication Society, IEEE Standard Association​. Dr hab. Adrian Kliks, participated in the years 2012-2017 in the work of the IEEE P1900.x standardization group, as a member with voting rights, and also served as secretary.​ Member of the groups: Radio Communications Committee and Research Group on Software Defined and Virtualized Wireless Access. In the years 2014-2016 he was the Membership Development / Web Visibility Chair in the IEEE for the EMEA area​. From 2019 – editor-in-chief of the Journal of Telecommunications and Information Technology of the Institute of Communications. He was also the editor-in-chief of EAI Endorsed Transactions on Wireless Spectrum​.
  • Pawel Kryszkiewicz (Poznan University of Technology)
Aims & Scope
The aim of this Special Issue is to collect recent research results achieved by experts from academia, industry, standards, and policy, presenting their new solutions of how cognitive radio systems will help deliver the required stringent requirements of future 5G and beyond 5G networks. In particular we will concentrate on science and industry drivers such as machine learning and big data analysis in future wireless networks.
Machine learning algorithms and solutions for 5G and beyondUsage of Context Information in future wireless systemSpectrum and resource virtualizationSpectrum, infrastructure and resource management in future wireless networksNew applications of cognitive radio based technologies in future wireless networksDeep learning and data mining in wireless networksSpectrum sharing and cognitive networks, including DSA, LSA, LAA, CBRS-SASCoexistence in unlicensed bands (including offload mechanisms)Cognitive Radio Related Standards and initiativesSpectrum efficiency optimisation at any layer level perspective (at PHY, MAC, networking and application level)Radio resource slicing and radio virtualization techniquesSpectrum for digital inclusionApplication of cognitive radio and sharing for the IoTCognitive radio technology for V2V and V2X applicationsSharing and coexistence in mmWave bands and satellite communicationsExperimental results on spectrum efficiency of end-to-end wireless systems and trialsSpectrum sharing and securityBusiness aspects and new opportunities related to spectrum sharing models and deploymentsFundamentals of cognitive radio, e.g., advances in spectrum sensing, dynamic spectrum accessRAN SlicingHeterogeneous network coexistenceSpectrum usage in high frequency bands (mmWave, VLC, THz)Backhauling aspects in future networks
Keywords
cogntivie radio, Wireless communications, wireless spectrum, Future Cellular and broadband wireless networks (LTE-A, 5G, etc.), Artificial Intelligence Technologies, Big data

Manuscript submission deadline:
2019-11-29
Notification of acceptance:
2020-01-06
Submission of final revised paper:
2020-02-28
Publication of special issue (tentative):
2020-03-16

Publication:
Wireless Spectrum
Submission Closed