Collection
Artificial Intelligence for the Next Generation Communication Systems
Artificial Intelligence (AI) and next generation communications systems are keywords that are becoming more and more pervasive in our everyday life. 5G systems are yet to reach their apex, and researchers now recognizes 6G, metaverse, augmented immersive reality as the research topics of the next future. In addition, this is the era of satellite systems with very dense constellations, where we are finally able to realize the satellite internet of things: autonomous driving and remote sensing are only two of the incredible applications of these new communication technologies.
The Topical Collection 'Artificial Intelligence for next generation communication systems’ intends to attract contributions from both the academia and the industry and is meant to expose the most recent advances in integrated design, planning, and optimization of AI for next generation communication systems.
The Research Topic ''Artificial Intelligence for next generation communication systems ' addresses the following non-exhaustive list of topics:
• Artificial intelligence for next generation communication systems physical layer and transceiver design
• Artificial intelligence for next generation communication systems resource allocation and multiple access
• Distributed Artificial intelligence for next generation communication networks
• Artificial intelligence applications in next generation communication systems
• Deep reinforcement learning for wireless communications
• Artificial intelligence for network orchestration
• Artificial intelligence in remote sensing applications
• Artificial intelligence testbed and experiment
Keywords:
Artificial Intelligence; Machine Learning; Deep Learning; Next Generation Communication Systems; Wireless Communications; Satellite Communications; Artificial Intelligence Applications
Editors
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Francesco Benedetto
Francesco Benedetto, Professor, University of Roma Tre, Italy Professor Francesco Benedetto, is one IEEE Senior Member, and Chair of the IEEE 1900.1 Working Group, Permanent Editor of the IEEE SDN newsletter, Associate Editor (area of “Wireless Signal Processing and Traffic Engineering”) for the International Journal of Mobile Network Design and Innovation, Editor in Chief of the Journal of Recent Patents on Computer Science, Associate Editor of the IEEE Access Int. Journal, Lead Guest Editor of the special issue "Advanced Ground Penetrating Radar Signal Processing Techniques", in Signal Processing Journal (Elsevier).
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Silvia Liberata Ullo
Silvia Liberata Ullo, Researcher, University of Sannio, Italy IEEE Senior Member. Industry Liaison for IEEE Joint ComSoc/VTS Italy Chapter since 2018. National Referent for FIDAPA BPW Italy Science and Technology Task Force (2019-2021). Component of the Working Group on Machine/Deep Learning for Image Analysis (WG-MIA) of IEEE GRSS IADF, The Image Analysis and Data Fusion Technical Committee (IADF TC) of the Geoscience and Remote Sensing Society. Researcher since 2004 at University of Sannio. Member of Academic Senate and PhD Professors’ Board. Authored 80+ research papers, co-authored many book chapters and served as editor of two books.
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Reinhard Schrage
Reinhard Schrage, Researcher, SchrageConsult, Germany Reinhard Schrage is a Senior Consultant at SchrageConsult, United Kingdom and Germany. He studied Pure Mathematics, Stochastics and Theoretical Computer Science at USC, Los Angeles and Leibniz University of Hannover, Germany, where he received his MSc in Mathematics. His work expertise includes calculation of nuclear fallout areas, customer specific design, creation and implementation of financial application software, customer specific adaptation of LAN protocol software, etc. He is a contributing member to several IEEE standardization workgroups.
